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B5252G www.globalknowledge.es [email protected] (34) 91 425 06 60 IBM Cognos Framework Manager: Design Metadata Models (v10.2) Duración: 5 Días Código del Curso: B5252G Temario: NOTE: This is a live, instructor-led online course. Do not make arrangements to travel. IBM Cognos Education is now pleased to offer you our courses in an exciting new learning format, Instructor-led Online (ILO). You are offered a similar experience to live classroom training, with the convenience of having it delivered directly to their desktop. IBM Cognos Framework Manager: Design Metadata Models (V10.2) is a five-day, instructor-led online course that provides participants with introductory to advanced knowledge of metadata modeling concepts, and how to model metadata for predictable reporting and analysis results using Framework Manager. You will learn the full scope of the metadata modeling process, from initial project creation, to publishing of metadata to the Web, enabling end users to easily author reports and analyze data. Dirigido a: This advanced course is intended for Developers. Objetivos: Please refer to Course Overview for description information. Prerequisitos: Required: Knowledge of common industry standard data structures and design Experience with SQL Experience gathering requirements and analyzing data Recommended: IBM Cognos Report Studio: Author Professional Reports Fundamentals (V10.2) or CBT equivalent
Transcript
Page 1: IBM Cognos Framework Manager: Design Metadata Models (v10.2)store.globalknowledge.net/course-overviews/ES/B5252G.pdf · IBM Cognos Framework Manager: Design Metadata Models (V10.2)

B5252G www.globalknowledge.es [email protected] (34) 91 425 06 60

IBM Cognos Framework Manager: Design Metadata Model s (v10.2)

Duración: 5 Días Código del Curso: B5252G

Temario:

NOTE: This is a live, instructor-led online course. Do not make arrangements to travel. IBM Cognos Education is now pleased to offer you our courses in an exciting new learning format, Instructor-led Online (ILO). You are offereda similar experience to live classroom training, with the convenience of having it delivered directly to their desktop.IBM Cognos Framework Manager: Design Metadata Models (V10.2) is a five-day, instructor-led online course that provides participants withintroductory to advanced knowledge of metadata modeling concepts, and how to model metadata for predictable reporting and analysis resultsusing Framework Manager. You will learn the full scope of the metadata modeling process, from initial project creation, to publishing ofmetadata to the Web, enabling end users to easily author reports and analyze data.

Dirigido a:

This advanced course is intended for Developers.

Objetivos:

Please refer to Course Overview for description information.

Prerequisitos:

Required:

Knowledge of common industry standard data structures anddesignExperience with SQLExperience gathering requirements and analyzing data

Recommended:

IBM Cognos Report Studio: Author Professional ReportsFundamentals (V10.2)or CBT equivalent

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B5252G www.globalknowledge.es [email protected] (34) 91 425 06 60

Contenido:

line line lineDiscuss IBM Cognos and Performance Describe IBM Cognos components Describe IBM Cognos componentsManagement Describe IBM Cognos architecture at a Describe IBM Cognos architecture at aExamine the characteristics of operational high level high leveldatabases and databases designed for Define IBM Cognos groups and roles Define IBM Cognos groups and rolesreporting Explain how to extend IBM Cognos Explain how to extend IBM CognosExamine key modeling recommendations Identify Common Data Structures Identify Common Data StructuresExamine the IBM Cognos BI and Framework Examine relationships and cardinality Examine relationships and cardinalityManager workflow processes Identify different data traps Identify different data trapsIdentify facts and dimensions Examine dimensional data sources Examine dimensional data sourcesDescribe multi-fact queries and when full Gather Requirements Gather Requirementsouter joins are appropriate Define reporting requirements Define reporting requirementsIdentify the advantages of modeling Explore data sources to identify data Explore data sources to identify datametadata as a star schema access strategies access strategiesCreate virtual facts to simplify writing queries Create a Baseline Project Create a Baseline ProjectUse calculations to create Define a project and its structure Define a project and its structurecommonly-needed query items for authors Describe the Framework Manager Describe the Framework ManagerMake time-based queries simple to author environment environmentby implementing a time dimension Create a baseline project Create a baseline projectUse determinants to specify multiple levels Enhance the model with additional Enhance the model with additionalof granularity and prevent double-counting metadata metadataIdentify the dimensions associated with a Prepare Reusable Metadata Prepare Reusable Metadatafact table Examine relationships, and data traps Examine relationships, and data trapsIdentify key differences and Verify relationships and query item Verify relationships and query itemrecommendations for using data source, properties propertiesmodel, and stored procedure query subjects Ensure efficient filters by configuring Ensure efficient filters by configuringExamine the IBM Cognos BI security prompt properties prompt propertiesenvironment Model for Predictable Results: Identify Model for Predictable Results: IdentifyApply dimensional information to relational Reporting Issues Reporting IssuesMetadata to enable OLAP-style queries Describe how IBM Cognos BI uses Describe how IBM Cognos BI usesConnect to an OLAP data source (cube) in a cardinality cardinalityFramework Manager project Identify reporting traps Identify reporting trapsGovernors that affect SQL generation Use tools to analyze the model Use tools to analyze the modelIdentify environment and model session Model for Predictable Results: Virtual Model for Predictable Results: Virtual Starparameters Star Schemas SchemasPerform basic maintenance and Model in layers Model in layersmanagement on a model Create aliases to avoid ambiguous joins Create aliases to avoid ambiguous joinsIdentify and implement techniques to Merge query subjects to create as view Merge query subjects to create as viewoptimize and tune your Framework Manager behavior behaviormodels Model for Predictable Results: Model for Predictable Results: ConsolidateSegment and link a project Consolidate Metadata MetadataSpecify package languages and function Create virtual dimensions to resolve Create virtual dimensions to resolvesets fact-to-fact joins fact-to-fact joinsLeverage a user defined function Create a consolidated modeling layer for Create a consolidated modeling layer forCustomize metadata for a multilingual presentation purposes presentation purposesaudience Consolidate snowflake dimensions with Consolidate snowflake dimensions withLinks to sites where the customer can find model query subjects model query subjectsmore information about course-related Simplify facts by hiding unnecessary Simplify facts by hiding unnecessary codesmaterial. codes Calculations and Filters

Calculations and Filters Use static filters to reduce the dataUse static filters to reduce the data returned

line returned Use macros and parameters inDescribe IBM Cognos components Use macros and parameters in calculations and filters to dynamicallyDescribe IBM Cognos architecture at a high calculations and filters to dynamically control the data returnedlevel control the data returned Implement a Time DimensionDefine IBM Cognos groups and roles Implement a Time Dimension Resolve confusion caused by multipleExplain how to extend IBM Cognos Resolve confusion caused by multiple relationships between a time dimensionIdentify Common Data Structures relationships between a time dimension and another tableExamine relationships and cardinality and another table Specify DeterminantsIdentify different data traps Specify Determinants Create the Presentation ViewExamine dimensional data sources Create the Presentation View Identify conformed vs. non-conformedGather Requirements Identify conformed vs. non-conformed dimensionsDefine reporting requirements dimensions Create star schema groupings to provide

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B5252G www.globalknowledge.es [email protected] (34) 91 425 06 60

Explore data sources to identify data access Create star schema groupings to provide authors with logical groupings of querystrategies authors with logical groupings of query subjectsCreate a Baseline Project subjects Rapidly create a model using the ModelDefine a project and its structure Rapidly create a model using the Model Design AcceleratorDescribe the Framework Manager Design Accelerator Work with Different Query Subject Typesenvironment Work with Different Query Subject Types Identify the effects on generated SQLCreate a baseline project Identify the effects on generated SQL when modifying query subjects, SQLEnhance the model with additional metadata when modifying query subjects, SQL settings and relationshipsPrepare Reusable Metadata settings and relationships Set Security in Framework ManagerExamine relationships, and data traps Set Security in Framework Manager Restrict access to packagesVerify relationships and query item Restrict access to packages Create and apply security filtersproperties Create and apply security filters Restrict access to objects in the modelEnsure efficient filters by configuring prompt Restrict access to objects in the model Create Analysis Objectsproperties Create Analysis Objects Define members and member uniqueModel for Predictable Results: Identify Define members and member unique namesReporting Issues names Identify changes that impact a MUNDescribe how IBM Cognos BI uses Identify changes that impact a MUN Sort members for presentation andcardinality Sort members for presentation and predictabilityIdentify reporting traps predictability Manage OLAP Data SourcesUse tools to analyze the model Manage OLAP Data Sources Publish an OLAP modelModel for Predictable Results: Virtual Star Publish an OLAP model Publish a model with multiple OLAP dataSchemas Publish a model with multiple OLAP data sourcesModel in layers sources Publish a model with an OLAP data sourceCreate aliases to avoid ambiguous joins Publish a model with an OLAP data and a relational data sourceMerge query subjects to create as view source and a relational data source Advanced Generated SQL Concepts andbehavior Advanced Generated SQL Concepts and Complex QueriesModel for Predictable Results: Consolidate Complex Queries Stitch query SQLMetadata Stitch query SQL Conformed and non-conformedCreate virtual dimensions to resolve Conformed and non-conformed dimensions in generated SQLfact-to-fact joins dimensions in generated SQL Multi-fact/multi-grain stitch query SQLCreate a consolidated modeling layer for Multi-fact/multi-grain stitch query SQL Variances in Report Studio generated SQLpresentation purposes Variances in Report Studio generated Dimensionally modeled relational SQLConsolidate snowflake dimensions with SQL generationmodel query subjects Dimensionally modeled relational SQL Cross join SQLSimplify facts by hiding unnecessary codes generation Various results sets for multi-fact queriesCalculations and Filters Cross join SQL Use Advanced ParameterizationUse static filters to reduce the data returned Various results sets for multi-fact queries Techniques in Framework MangerUse macros and parameters in calculations Use Advanced Parameterization Leverage session, model, and customand filters to dynamically control the data Techniques in Framework Manger parametersreturned Leverage session, model, and custom Create prompt macrosImplement a Time Dimension parameters Leverage macro functions associated withResolve confusion caused by multiple Create prompt macros securityrelationships between a time dimension and Leverage macro functions associated Model Maintenance and Extensibilityanother table with security Remap metadata to another sourceSpecify Determinants Model Maintenance and Extensibility Import and link a second data sourceCreate the Presentation View Remap metadata to another source Run scripts to automate or update a modelIdentify conformed vs. non-conformed Import and link a second data source Create a model reportdimensions Run scripts to automate or update a Optimize and Tune Framework ManagerCreate star schema groupings to provide model Modelsauthors with logical groupings of query Create a model report Use Dynamic Query Mode in Frameworksubjects Optimize and Tune Framework Manager ManagerRapidly create a model using the Model Models Work in a Multi-Modeler EnvironmentDesign Accelerator Use Dynamic Query Mode in Framework Branch a project and merge resultsWork with Different Query Subject Types Manager Manage Framework Manager PackagesIdentify the effects on generated SQL when Work in a Multi-Modeler Environment Control model versioningmodifying query subjects, SQL settings and Branch a project and merge results Nest packagesrelationships Manage Framework Manager Packages Appendix A: Employ Additional ModelingSet Security in Framework Manager Control model versioning TechniquesRestrict access to packages Nest packages Set the order of operations in a modelCreate and apply security filters Appendix A: Employ Additional Modeling calculationRestrict access to objects in the model Techniques Externalize query subjectsCreate Analysis Objects Set the order of operations in a model Prepare IBM Cognos 10 content for use asDefine members and member unique names calculation a data source in TransformerIdentify changes that impact a MUN Externalize query subjects Create query setsSort members for presentation and Prepare IBM Cognos 10 content for use Use external source control throughpredictability as a data source in Transformer Windows Explorer

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B5252G www.globalknowledge.es [email protected] (34) 91 425 06 60

Manage OLAP Data Sources Create query sets Appendix B: Model Multilingual MetadataPublish an OLAP model Use external source control through Appendix C: Additional ResourcesPublish a model with multiple OLAP data Windows Explorersources Appendix B: Model Multilingual MetadataPublish a model with an OLAP data source Appendix C: Additional Resources lineand a relational data source Describe IBM Cognos componentsAdvanced Generated SQL Concepts and Describe IBM Cognos architecture at aComplex Queries line high levelStitch query SQL Describe IBM Cognos components Define IBM Cognos groups and rolesConformed and non-conformed dimensions Describe IBM Cognos architecture at a Explain how to extend IBM Cognosin generated SQL high level Identify Common Data StructuresMulti-fact/multi-grain stitch query SQL Define IBM Cognos groups and roles Examine relationships and cardinalityVariances in Report Studio generated SQL Explain how to extend IBM Cognos Identify different data trapsDimensionally modeled relational SQL Identify Common Data Structures Examine dimensional data sourcesgeneration Examine relationships and cardinality Gather RequirementsCross join SQL Identify different data traps Define reporting requirementsVarious results sets for multi-fact queries Examine dimensional data sources Explore data sources to identify dataUse Advanced Parameterization Techniques Gather Requirements access strategiesin Framework Manger Define reporting requirements Create a Baseline ProjectLeverage session, model, and custom Explore data sources to identify data Define a project and its structureparameters access strategies Describe the Framework ManagerCreate prompt macros Create a Baseline Project environmentLeverage macro functions associated with Define a project and its structure Create a baseline projectsecurity Describe the Framework Manager Enhance the model with additionalModel Maintenance and Extensibility environment metadataRemap metadata to another source Create a baseline project Prepare Reusable MetadataImport and link a second data source Enhance the model with additional Examine relationships, and data trapsRun scripts to automate or update a model metadata Verify relationships and query itemCreate a model report Prepare Reusable Metadata propertiesOptimize and Tune Framework Manager Examine relationships, and data traps Ensure efficient filters by configuringModels Verify relationships and query item prompt propertiesUse Dynamic Query Mode in Framework properties Model for Predictable Results: IdentifyManager Ensure efficient filters by configuring Reporting IssuesWork in a Multi-Modeler Environment prompt properties Describe how IBM Cognos BI usesBranch a project and merge results Model for Predictable Results: Identify cardinalityManage Framework Manager Packages Reporting Issues Identify reporting trapsControl model versioning Describe how IBM Cognos BI uses Use tools to analyze the modelNest packages cardinality Model for Predictable Results: Virtual StarAppendix A: Employ Additional Modeling Identify reporting traps SchemasTechniques Use tools to analyze the model Model in layersSet the order of operations in a model Model for Predictable Results: Virtual Create aliases to avoid ambiguous joinscalculation Star Schemas Merge query subjects to create as viewExternalize query subjects Model in layers behaviorPrepare IBM Cognos 10 content for use as a Create aliases to avoid ambiguous joins Model for Predictable Results: Consolidatedata source in Transformer Merge query subjects to create as view MetadataCreate query sets behavior Create virtual dimensions to resolveUse external source control through Model for Predictable Results: fact-to-fact joinsWindows Explorer Consolidate Metadata Create a consolidated modeling layer forAppendix B: Model Multilingual Metadata Create virtual dimensions to resolve presentation purposesAppendix C: Additional Resources fact-to-fact joins Consolidate snowflake dimensions with

Create a consolidated modeling layer for model query subjectspresentation purposes Simplify facts by hiding unnecessary codes

line Consolidate snowflake dimensions with Calculations and FiltersDescribe IBM Cognos components model query subjects Use static filters to reduce the dataDescribe IBM Cognos architecture at a high Simplify facts by hiding unnecessary returnedlevel codes Use macros and parameters inDefine IBM Cognos groups and roles Calculations and Filters calculations and filters to dynamicallyExplain how to extend IBM Cognos Use static filters to reduce the data control the data returnedIdentify Common Data Structures returned Implement a Time DimensionExamine relationships and cardinality Use macros and parameters in Resolve confusion caused by multipleIdentify different data traps calculations and filters to dynamically relationships between a time dimensionExamine dimensional data sources control the data returned and another tableGather Requirements Implement a Time Dimension Specify DeterminantsDefine reporting requirements Resolve confusion caused by multiple Create the Presentation ViewExplore data sources to identify data access relationships between a time dimension Identify conformed vs. non-conformedstrategies and another table dimensions

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B5252G www.globalknowledge.es [email protected] (34) 91 425 06 60

Create a Baseline Project Specify Determinants Create star schema groupings to provideDefine a project and its structure Create the Presentation View authors with logical groupings of queryDescribe the Framework Manager Identify conformed vs. non-conformed subjectsenvironment dimensions Rapidly create a model using the ModelCreate a baseline project Create star schema groupings to provide Design AcceleratorEnhance the model with additional metadata authors with logical groupings of query Work with Different Query Subject TypesPrepare Reusable Metadata subjects Identify the effects on generated SQLExamine relationships, and data traps Rapidly create a model using the Model when modifying query subjects, SQLVerify relationships and query item Design Accelerator settings and relationshipsproperties Work with Different Query Subject Types Set Security in Framework ManagerEnsure efficient filters by configuring prompt Identify the effects on generated SQL Restrict access to packagesproperties when modifying query subjects, SQL Create and apply security filtersModel for Predictable Results: Identify settings and relationships Restrict access to objects in the modelReporting Issues Set Security in Framework Manager Create Analysis ObjectsDescribe how IBM Cognos BI uses Restrict access to packages Define members and member uniquecardinality Create and apply security filters namesIdentify reporting traps Restrict access to objects in the model Identify changes that impact a MUNUse tools to analyze the model Create Analysis Objects Sort members for presentation andModel for Predictable Results: Virtual Star Define members and member unique predictabilitySchemas names Manage OLAP Data SourcesModel in layers Identify changes that impact a MUN Publish an OLAP modelCreate aliases to avoid ambiguous joins Sort members for presentation and Publish a model with multiple OLAP dataMerge query subjects to create as view predictability sourcesbehavior Manage OLAP Data Sources Publish a model with an OLAP data sourceModel for Predictable Results: Consolidate Publish an OLAP model and a relational data sourceMetadata Publish a model with multiple OLAP data Advanced Generated SQL Concepts andCreate virtual dimensions to resolve sources Complex Queriesfact-to-fact joins Publish a model with an OLAP data Stitch query SQLCreate a consolidated modeling layer for source and a relational data source Conformed and non-conformedpresentation purposes Advanced Generated SQL Concepts and dimensions in generated SQLConsolidate snowflake dimensions with Complex Queries Multi-fact/multi-grain stitch query SQLmodel query subjects Stitch query SQL Variances in Report Studio generated SQLSimplify facts by hiding unnecessary codes Conformed and non-conformed Dimensionally modeled relational SQLCalculations and Filters dimensions in generated SQL generationUse static filters to reduce the data returned Multi-fact/multi-grain stitch query SQL Cross join SQLUse macros and parameters in calculations Variances in Report Studio generated Various results sets for multi-fact queriesand filters to dynamically control the data SQL Use Advanced Parameterizationreturned Dimensionally modeled relational SQL Techniques in Framework MangerImplement a Time Dimension generation Leverage session, model, and customResolve confusion caused by multiple Cross join SQL parametersrelationships between a time dimension and Various results sets for multi-fact queries Create prompt macrosanother table Use Advanced Parameterization Leverage macro functions associated withSpecify Determinants Techniques in Framework Manger securityCreate the Presentation View Leverage session, model, and custom Model Maintenance and ExtensibilityIdentify conformed vs. non-conformed parameters Remap metadata to another sourcedimensions Create prompt macros Import and link a second data sourceCreate star schema groupings to provide Leverage macro functions associated Run scripts to automate or update a modelauthors with logical groupings of query with security Create a model reportsubjects Model Maintenance and Extensibility Optimize and Tune Framework ManagerRapidly create a model using the Model Remap metadata to another source ModelsDesign Accelerator Import and link a second data source Use Dynamic Query Mode in FrameworkWork with Different Query Subject Types Run scripts to automate or update a ManagerIdentify the effects on generated SQL when model Work in a Multi-Modeler Environmentmodifying query subjects, SQL settings and Create a model report Branch a project and merge resultsrelationships Optimize and Tune Framework Manager Manage Framework Manager PackagesSet Security in Framework Manager Models Control model versioningRestrict access to packages Use Dynamic Query Mode in Framework Nest packagesCreate and apply security filters Manager Appendix A: Employ Additional ModelingRestrict access to objects in the model Work in a Multi-Modeler Environment TechniquesCreate Analysis Objects Branch a project and merge results Set the order of operations in a modelDefine members and member unique names Manage Framework Manager Packages calculationIdentify changes that impact a MUN Control model versioning Externalize query subjectsSort members for presentation and Nest packages Prepare IBM Cognos 10 content for use aspredictability Appendix A: Employ Additional Modeling a data source in TransformerManage OLAP Data Sources Techniques Create query setsPublish an OLAP model Set the order of operations in a model Use external source control through

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B5252G www.globalknowledge.es [email protected] (34) 91 425 06 60

Publish a model with multiple OLAP data calculation Windows Explorersources Externalize query subjects Appendix B: Model Multilingual MetadataPublish a model with an OLAP data source Prepare IBM Cognos 10 content for use Appendix C: Additional Resourcesand a relational data source as a data source in TransformerAdvanced Generated SQL Concepts and Create query setsComplex Queries Use external source control through lineStitch query SQL Windows Explorer Describe IBM Cognos componentsConformed and non-conformed dimensions Appendix B: Model Multilingual Metadata Describe IBM Cognos architecture at ain generated SQL Appendix C: Additional Resources high levelMulti-fact/multi-grain stitch query SQL Define IBM Cognos groups and rolesVariances in Report Studio generated SQL Explain how to extend IBM CognosDimensionally modeled relational SQL line Identify Common Data Structuresgeneration Describe IBM Cognos components Examine relationships and cardinalityCross join SQL Describe IBM Cognos architecture at a Identify different data trapsVarious results sets for multi-fact queries high level Examine dimensional data sourcesUse Advanced Parameterization Techniques Define IBM Cognos groups and roles Gather Requirementsin Framework Manger Explain how to extend IBM Cognos Define reporting requirementsLeverage session, model, and custom Identify Common Data Structures Explore data sources to identify dataparameters Examine relationships and cardinality access strategiesCreate prompt macros Identify different data traps Create a Baseline ProjectLeverage macro functions associated with Examine dimensional data sources Define a project and its structuresecurity Gather Requirements Describe the Framework ManagerModel Maintenance and Extensibility Define reporting requirements environmentRemap metadata to another source Explore data sources to identify data Create a baseline projectImport and link a second data source access strategies Enhance the model with additionalRun scripts to automate or update a model Create a Baseline Project metadataCreate a model report Define a project and its structure Prepare Reusable MetadataOptimize and Tune Framework Manager Describe the Framework Manager Examine relationships, and data trapsModels environment Verify relationships and query itemUse Dynamic Query Mode in Framework Create a baseline project propertiesManager Enhance the model with additional Ensure efficient filters by configuringWork in a Multi-Modeler Environment metadata prompt propertiesBranch a project and merge results Prepare Reusable Metadata Model for Predictable Results: IdentifyManage Framework Manager Packages Examine relationships, and data traps Reporting IssuesControl model versioning Verify relationships and query item Describe how IBM Cognos BI usesNest packages properties cardinalityAppendix A: Employ Additional Modeling Ensure efficient filters by configuring Identify reporting trapsTechniques prompt properties Use tools to analyze the modelSet the order of operations in a model Model for Predictable Results: Identify Model for Predictable Results: Virtual Starcalculation Reporting Issues SchemasExternalize query subjects Describe how IBM Cognos BI uses Model in layersPrepare IBM Cognos 10 content for use as a cardinality Create aliases to avoid ambiguous joinsdata source in Transformer Identify reporting traps Merge query subjects to create as viewCreate query sets Use tools to analyze the model behaviorUse external source control through Model for Predictable Results: Virtual Model for Predictable Results: ConsolidateWindows Explorer Star Schemas MetadataAppendix B: Model Multilingual Metadata Model in layers Create virtual dimensions to resolveAppendix C: Additional Resources Create aliases to avoid ambiguous joins fact-to-fact joins

Merge query subjects to create as view Create a consolidated modeling layer forbehavior presentation purposes

line Model for Predictable Results: Consolidate snowflake dimensions withDescribe IBM Cognos components Consolidate Metadata model query subjectsDescribe IBM Cognos architecture at a high Create virtual dimensions to resolve Simplify facts by hiding unnecessary codeslevel fact-to-fact joins Calculations and FiltersDefine IBM Cognos groups and roles Create a consolidated modeling layer for Use static filters to reduce the dataExplain how to extend IBM Cognos presentation purposes returnedIdentify Common Data Structures Consolidate snowflake dimensions with Use macros and parameters inExamine relationships and cardinality model query subjects calculations and filters to dynamicallyIdentify different data traps Simplify facts by hiding unnecessary control the data returnedExamine dimensional data sources codes Implement a Time DimensionGather Requirements Calculations and Filters Resolve confusion caused by multipleDefine reporting requirements Use static filters to reduce the data relationships between a time dimensionExplore data sources to identify data access returned and another tablestrategies Use macros and parameters in Specify DeterminantsCreate a Baseline Project calculations and filters to dynamically Create the Presentation ViewDefine a project and its structure control the data returned Identify conformed vs. non-conformed

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Describe the Framework Manager Implement a Time Dimension dimensionsenvironment Resolve confusion caused by multiple Create star schema groupings to provideCreate a baseline project relationships between a time dimension authors with logical groupings of queryEnhance the model with additional metadata and another table subjectsPrepare Reusable Metadata Specify Determinants Rapidly create a model using the ModelExamine relationships, and data traps Create the Presentation View Design AcceleratorVerify relationships and query item Identify conformed vs. non-conformed Work with Different Query Subject Typesproperties dimensions Identify the effects on generated SQLEnsure efficient filters by configuring prompt Create star schema groupings to provide when modifying query subjects, SQLproperties authors with logical groupings of query settings and relationshipsModel for Predictable Results: Identify subjects Set Security in Framework ManagerReporting Issues Rapidly create a model using the Model Restrict access to packagesDescribe how IBM Cognos BI uses Design Accelerator Create and apply security filterscardinality Work with Different Query Subject Types Restrict access to objects in the modelIdentify reporting traps Identify the effects on generated SQL Create Analysis ObjectsUse tools to analyze the model when modifying query subjects, SQL Define members and member uniqueModel for Predictable Results: Virtual Star settings and relationships namesSchemas Set Security in Framework Manager Identify changes that impact a MUNModel in layers Restrict access to packages Sort members for presentation andCreate aliases to avoid ambiguous joins Create and apply security filters predictabilityMerge query subjects to create as view Restrict access to objects in the model Manage OLAP Data Sourcesbehavior Create Analysis Objects Publish an OLAP modelModel for Predictable Results: Consolidate Define members and member unique Publish a model with multiple OLAP dataMetadata names sourcesCreate virtual dimensions to resolve Identify changes that impact a MUN Publish a model with an OLAP data sourcefact-to-fact joins Sort members for presentation and and a relational data sourceCreate a consolidated modeling layer for predictability Advanced Generated SQL Concepts andpresentation purposes Manage OLAP Data Sources Complex QueriesConsolidate snowflake dimensions with Publish an OLAP model Stitch query SQLmodel query subjects Publish a model with multiple OLAP data Conformed and non-conformedSimplify facts by hiding unnecessary codes sources dimensions in generated SQLCalculations and Filters Publish a model with an OLAP data Multi-fact/multi-grain stitch query SQLUse static filters to reduce the data returned source and a relational data source Variances in Report Studio generated SQLUse macros and parameters in calculations Advanced Generated SQL Concepts and Dimensionally modeled relational SQLand filters to dynamically control the data Complex Queries generationreturned Stitch query SQL Cross join SQLImplement a Time Dimension Conformed and non-conformed Various results sets for multi-fact queriesResolve confusion caused by multiple dimensions in generated SQL Use Advanced Parameterizationrelationships between a time dimension and Multi-fact/multi-grain stitch query SQL Techniques in Framework Mangeranother table Variances in Report Studio generated Leverage session, model, and customSpecify Determinants SQL parametersCreate the Presentation View Dimensionally modeled relational SQL Create prompt macrosIdentify conformed vs. non-conformed generation Leverage macro functions associated withdimensions Cross join SQL securityCreate star schema groupings to provide Various results sets for multi-fact queries Model Maintenance and Extensibilityauthors with logical groupings of query Use Advanced Parameterization Remap metadata to another sourcesubjects Techniques in Framework Manger Import and link a second data sourceRapidly create a model using the Model Leverage session, model, and custom Run scripts to automate or update a modelDesign Accelerator parameters Create a model reportWork with Different Query Subject Types Create prompt macros Optimize and Tune Framework ManagerIdentify the effects on generated SQL when Leverage macro functions associated Modelsmodifying query subjects, SQL settings and with security Use Dynamic Query Mode in Frameworkrelationships Model Maintenance and Extensibility ManagerSet Security in Framework Manager Remap metadata to another source Work in a Multi-Modeler EnvironmentRestrict access to packages Import and link a second data source Branch a project and merge resultsCreate and apply security filters Run scripts to automate or update a Manage Framework Manager PackagesRestrict access to objects in the model model Control model versioningCreate Analysis Objects Create a model report Nest packagesDefine members and member unique names Optimize and Tune Framework Manager Appendix A: Employ Additional ModelingIdentify changes that impact a MUN Models TechniquesSort members for presentation and Use Dynamic Query Mode in Framework Set the order of operations in a modelpredictability Manager calculationManage OLAP Data Sources Work in a Multi-Modeler Environment Externalize query subjectsPublish an OLAP model Branch a project and merge results Prepare IBM Cognos 10 content for use asPublish a model with multiple OLAP data Manage Framework Manager Packages a data source in Transformersources Control model versioning Create query sets

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Publish a model with an OLAP data source Nest packages Use external source control throughand a relational data source Appendix A: Employ Additional Modeling Windows ExplorerAdvanced Generated SQL Concepts and Techniques Appendix B: Model Multilingual MetadataComplex Queries Set the order of operations in a model Appendix C: Additional ResourcesStitch query SQL calculationConformed and non-conformed dimensions Externalize query subjectsin generated SQL Prepare IBM Cognos 10 content for use lineMulti-fact/multi-grain stitch query SQL as a data source in Transformer Describe IBM Cognos componentsVariances in Report Studio generated SQL Create query sets Describe IBM Cognos architecture at aDimensionally modeled relational SQL Use external source control through high levelgeneration Windows Explorer Define IBM Cognos groups and rolesCross join SQL Appendix B: Model Multilingual Metadata Explain how to extend IBM CognosVarious results sets for multi-fact queries Appendix C: Additional Resources Identify Common Data StructuresUse Advanced Parameterization Techniques Examine relationships and cardinalityin Framework Manger Identify different data trapsLeverage session, model, and custom line Examine dimensional data sourcesparameters Discuss IBM Cognos and Performance Gather RequirementsCreate prompt macros Management Define reporting requirementsLeverage macro functions associated with Examine the characteristics of Explore data sources to identify datasecurity operational databases and databases access strategiesModel Maintenance and Extensibility designed for reporting Create a Baseline ProjectRemap metadata to another source Examine key modeling recommendations Define a project and its structureImport and link a second data source Examine the IBM Cognos BI and Describe the Framework ManagerRun scripts to automate or update a model Framework Manager workflow processes environmentCreate a model report Identify facts and dimensions Create a baseline projectOptimize and Tune Framework Manager Describe multi-fact queries and when full Enhance the model with additionalModels outer joins are appropriate metadataUse Dynamic Query Mode in Framework Identify the advantages of modeling Prepare Reusable MetadataManager metadata as a star schema Examine relationships, and data trapsWork in a Multi-Modeler Environment Create virtual facts to simplify writing Verify relationships and query itemBranch a project and merge results queries propertiesManage Framework Manager Packages Use calculations to create Ensure efficient filters by configuringControl model versioning commonly-needed query items for prompt propertiesNest packages authors Model for Predictable Results: IdentifyAppendix A: Employ Additional Modeling Make time-based queries simple to Reporting IssuesTechniques author by implementing a time dimension Describe how IBM Cognos BI usesSet the order of operations in a model Use determinants to specify multiple cardinalitycalculation levels of granularity and prevent Identify reporting trapsExternalize query subjects double-counting Use tools to analyze the modelPrepare IBM Cognos 10 content for use as a Identify the dimensions associated with a Model for Predictable Results: Virtual Stardata source in Transformer fact table SchemasCreate query sets Identify key differences and Model in layersUse external source control through recommendations for using data source, Create aliases to avoid ambiguous joinsWindows Explorer model, and stored procedure query Merge query subjects to create as viewAppendix B: Model Multilingual Metadata subjects behaviorAppendix C: Additional Resources Examine the IBM Cognos BI security Model for Predictable Results: Consolidate

environment MetadataApply dimensional information to Create virtual dimensions to resolve

line relational Metadata to enable OLAP-style fact-to-fact joinsDescribe IBM Cognos components queries Create a consolidated modeling layer forDescribe IBM Cognos architecture at a high Connect to an OLAP data source (cube) presentation purposeslevel in a Framework Manager project Consolidate snowflake dimensions withDefine IBM Cognos groups and roles Governors that affect SQL generation model query subjectsExplain how to extend IBM Cognos Identify environment and model session Simplify facts by hiding unnecessary codesIdentify Common Data Structures parameters Calculations and FiltersExamine relationships and cardinality Perform basic maintenance and Use static filters to reduce the dataIdentify different data traps management on a model returnedExamine dimensional data sources Identify and implement techniques to Use macros and parameters inGather Requirements optimize and tune your Framework calculations and filters to dynamicallyDefine reporting requirements Manager models control the data returnedExplore data sources to identify data access Segment and link a project Implement a Time Dimensionstrategies Specify package languages and function Resolve confusion caused by multipleCreate a Baseline Project sets relationships between a time dimensionDefine a project and its structure Leverage a user defined function and another tableDescribe the Framework Manager Customize metadata for a multilingual Specify Determinantsenvironment audience Create the Presentation View

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Create a baseline project Links to sites where the customer can Identify conformed vs. non-conformedEnhance the model with additional metadata find more information about dimensionsPrepare Reusable Metadata course-related material. Create star schema groupings to provideExamine relationships, and data traps authors with logical groupings of queryVerify relationships and query item subjectsproperties line Rapidly create a model using the ModelEnsure efficient filters by configuring prompt Describe IBM Cognos components Design Acceleratorproperties Describe IBM Cognos architecture at a Work with Different Query Subject TypesModel for Predictable Results: Identify high level Identify the effects on generated SQLReporting Issues Define IBM Cognos groups and roles when modifying query subjects, SQLDescribe how IBM Cognos BI uses Explain how to extend IBM Cognos settings and relationshipscardinality Identify Common Data Structures Set Security in Framework ManagerIdentify reporting traps Examine relationships and cardinality Restrict access to packagesUse tools to analyze the model Identify different data traps Create and apply security filtersModel for Predictable Results: Virtual Star Examine dimensional data sources Restrict access to objects in the modelSchemas Gather Requirements Create Analysis ObjectsModel in layers Define reporting requirements Define members and member uniqueCreate aliases to avoid ambiguous joins Explore data sources to identify data namesMerge query subjects to create as view access strategies Identify changes that impact a MUNbehavior Create a Baseline Project Sort members for presentation andModel for Predictable Results: Consolidate Define a project and its structure predictabilityMetadata Describe the Framework Manager Manage OLAP Data SourcesCreate virtual dimensions to resolve environment Publish an OLAP modelfact-to-fact joins Create a baseline project Publish a model with multiple OLAP dataCreate a consolidated modeling layer for Enhance the model with additional sourcespresentation purposes metadata Publish a model with an OLAP data sourceConsolidate snowflake dimensions with Prepare Reusable Metadata and a relational data sourcemodel query subjects Examine relationships, and data traps Advanced Generated SQL Concepts andSimplify facts by hiding unnecessary codes Verify relationships and query item Complex QueriesCalculations and Filters properties Stitch query SQLUse static filters to reduce the data returned Ensure efficient filters by configuring Conformed and non-conformedUse macros and parameters in calculations prompt properties dimensions in generated SQLand filters to dynamically control the data Model for Predictable Results: Identify Multi-fact/multi-grain stitch query SQLreturned Reporting Issues Variances in Report Studio generated SQLImplement a Time Dimension Describe how IBM Cognos BI uses Dimensionally modeled relational SQLResolve confusion caused by multiple cardinality generationrelationships between a time dimension and Identify reporting traps Cross join SQLanother table Use tools to analyze the model Various results sets for multi-fact queriesSpecify Determinants Model for Predictable Results: Virtual Use Advanced ParameterizationCreate the Presentation View Star Schemas Techniques in Framework MangerIdentify conformed vs. non-conformed Model in layers Leverage session, model, and customdimensions Create aliases to avoid ambiguous joins parametersCreate star schema groupings to provide Merge query subjects to create as view Create prompt macrosauthors with logical groupings of query behavior Leverage macro functions associated withsubjects Model for Predictable Results: securityRapidly create a model using the Model Consolidate Metadata Model Maintenance and ExtensibilityDesign Accelerator Create virtual dimensions to resolve Remap metadata to another sourceWork with Different Query Subject Types fact-to-fact joins Import and link a second data sourceIdentify the effects on generated SQL when Create a consolidated modeling layer for Run scripts to automate or update a modelmodifying query subjects, SQL settings and presentation purposes Create a model reportrelationships Consolidate snowflake dimensions with Optimize and Tune Framework ManagerSet Security in Framework Manager model query subjects ModelsRestrict access to packages Simplify facts by hiding unnecessary Use Dynamic Query Mode in FrameworkCreate and apply security filters codes ManagerRestrict access to objects in the model Calculations and Filters Work in a Multi-Modeler EnvironmentCreate Analysis Objects Use static filters to reduce the data Branch a project and merge resultsDefine members and member unique names returned Manage Framework Manager PackagesIdentify changes that impact a MUN Use macros and parameters in Control model versioningSort members for presentation and calculations and filters to dynamically Nest packagespredictability control the data returned Appendix A: Employ Additional ModelingManage OLAP Data Sources Implement a Time Dimension TechniquesPublish an OLAP model Resolve confusion caused by multiple Set the order of operations in a modelPublish a model with multiple OLAP data relationships between a time dimension calculationsources and another table Externalize query subjectsPublish a model with an OLAP data source Specify Determinants Prepare IBM Cognos 10 content for use asand a relational data source Create the Presentation View a data source in Transformer

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Advanced Generated SQL Concepts and Identify conformed vs. non-conformed Create query setsComplex Queries dimensions Use external source control throughStitch query SQL Create star schema groupings to provide Windows ExplorerConformed and non-conformed dimensions authors with logical groupings of query Appendix B: Model Multilingual Metadatain generated SQL subjects Appendix C: Additional ResourcesMulti-fact/multi-grain stitch query SQL Rapidly create a model using the ModelVariances in Report Studio generated SQL Design AcceleratorDimensionally modeled relational SQL Work with Different Query Subject Types linegeneration Identify the effects on generated SQL Describe IBM Cognos componentsCross join SQL when modifying query subjects, SQL Describe IBM Cognos architecture at aVarious results sets for multi-fact queries settings and relationships high levelUse Advanced Parameterization Techniques Set Security in Framework Manager Define IBM Cognos groups and rolesin Framework Manger Restrict access to packages Explain how to extend IBM CognosLeverage session, model, and custom Create and apply security filters Identify Common Data Structuresparameters Restrict access to objects in the model Examine relationships and cardinalityCreate prompt macros Create Analysis Objects Identify different data trapsLeverage macro functions associated with Define members and member unique Examine dimensional data sourcessecurity names Gather RequirementsModel Maintenance and Extensibility Identify changes that impact a MUN Define reporting requirementsRemap metadata to another source Sort members for presentation and Explore data sources to identify dataImport and link a second data source predictability access strategiesRun scripts to automate or update a model Manage OLAP Data Sources Create a Baseline ProjectCreate a model report Publish an OLAP model Define a project and its structureOptimize and Tune Framework Manager Publish a model with multiple OLAP data Describe the Framework ManagerModels sources environmentUse Dynamic Query Mode in Framework Publish a model with an OLAP data Create a baseline projectManager source and a relational data source Enhance the model with additionalWork in a Multi-Modeler Environment Advanced Generated SQL Concepts and metadataBranch a project and merge results Complex Queries Prepare Reusable MetadataManage Framework Manager Packages Stitch query SQL Examine relationships, and data trapsControl model versioning Conformed and non-conformed Verify relationships and query itemNest packages dimensions in generated SQL propertiesAppendix A: Employ Additional Modeling Multi-fact/multi-grain stitch query SQL Ensure efficient filters by configuringTechniques Variances in Report Studio generated prompt propertiesSet the order of operations in a model SQL Model for Predictable Results: Identifycalculation Dimensionally modeled relational SQL Reporting IssuesExternalize query subjects generation Describe how IBM Cognos BI usesPrepare IBM Cognos 10 content for use as a Cross join SQL cardinalitydata source in Transformer Various results sets for multi-fact queries Identify reporting trapsCreate query sets Use Advanced Parameterization Use tools to analyze the modelUse external source control through Techniques in Framework Manger Model for Predictable Results: Virtual StarWindows Explorer Leverage session, model, and custom SchemasAppendix B: Model Multilingual Metadata parameters Model in layersAppendix C: Additional Resources Create prompt macros Create aliases to avoid ambiguous joins

Leverage macro functions associated Merge query subjects to create as viewwith security behavior

line Model Maintenance and Extensibility Model for Predictable Results: ConsolidateDescribe IBM Cognos components Remap metadata to another source MetadataDescribe IBM Cognos architecture at a high Import and link a second data source Create virtual dimensions to resolvelevel Run scripts to automate or update a fact-to-fact joinsDefine IBM Cognos groups and roles model Create a consolidated modeling layer forExplain how to extend IBM Cognos Create a model report presentation purposesIdentify Common Data Structures Optimize and Tune Framework Manager Consolidate snowflake dimensions withExamine relationships and cardinality Models model query subjectsIdentify different data traps Use Dynamic Query Mode in Framework Simplify facts by hiding unnecessary codesExamine dimensional data sources Manager Calculations and FiltersGather Requirements Work in a Multi-Modeler Environment Use static filters to reduce the dataDefine reporting requirements Branch a project and merge results returnedExplore data sources to identify data access Manage Framework Manager Packages Use macros and parameters instrategies Control model versioning calculations and filters to dynamicallyCreate a Baseline Project Nest packages control the data returnedDefine a project and its structure Appendix A: Employ Additional Modeling Implement a Time DimensionDescribe the Framework Manager Techniques Resolve confusion caused by multipleenvironment Set the order of operations in a model relationships between a time dimensionCreate a baseline project calculation and another tableEnhance the model with additional metadata Externalize query subjects Specify Determinants

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Prepare Reusable Metadata Prepare IBM Cognos 10 content for use Create the Presentation ViewExamine relationships, and data traps as a data source in Transformer Identify conformed vs. non-conformedVerify relationships and query item Create query sets dimensionsproperties Use external source control through Create star schema groupings to provideEnsure efficient filters by configuring prompt Windows Explorer authors with logical groupings of queryproperties Appendix B: Model Multilingual Metadata subjectsModel for Predictable Results: Identify Appendix C: Additional Resources Rapidly create a model using the ModelReporting Issues Design AcceleratorDescribe how IBM Cognos BI uses Work with Different Query Subject Typescardinality line Identify the effects on generated SQLIdentify reporting traps Describe IBM Cognos components when modifying query subjects, SQLUse tools to analyze the model Describe IBM Cognos architecture at a settings and relationshipsModel for Predictable Results: Virtual Star high level Set Security in Framework ManagerSchemas Define IBM Cognos groups and roles Restrict access to packagesModel in layers Explain how to extend IBM Cognos Create and apply security filtersCreate aliases to avoid ambiguous joins Identify Common Data Structures Restrict access to objects in the modelMerge query subjects to create as view Examine relationships and cardinality Create Analysis Objectsbehavior Identify different data traps Define members and member uniqueModel for Predictable Results: Consolidate Examine dimensional data sources namesMetadata Gather Requirements Identify changes that impact a MUNCreate virtual dimensions to resolve Define reporting requirements Sort members for presentation andfact-to-fact joins Explore data sources to identify data predictabilityCreate a consolidated modeling layer for access strategies Manage OLAP Data Sourcespresentation purposes Create a Baseline Project Publish an OLAP modelConsolidate snowflake dimensions with Define a project and its structure Publish a model with multiple OLAP datamodel query subjects Describe the Framework Manager sourcesSimplify facts by hiding unnecessary codes environment Publish a model with an OLAP data sourceCalculations and Filters Create a baseline project and a relational data sourceUse static filters to reduce the data returned Enhance the model with additional Advanced Generated SQL Concepts andUse macros and parameters in calculations metadata Complex Queriesand filters to dynamically control the data Prepare Reusable Metadata Stitch query SQLreturned Examine relationships, and data traps Conformed and non-conformedImplement a Time Dimension Verify relationships and query item dimensions in generated SQLResolve confusion caused by multiple properties Multi-fact/multi-grain stitch query SQLrelationships between a time dimension and Ensure efficient filters by configuring Variances in Report Studio generated SQLanother table prompt properties Dimensionally modeled relational SQLSpecify Determinants Model for Predictable Results: Identify generationCreate the Presentation View Reporting Issues Cross join SQLIdentify conformed vs. non-conformed Describe how IBM Cognos BI uses Various results sets for multi-fact queriesdimensions cardinality Use Advanced ParameterizationCreate star schema groupings to provide Identify reporting traps Techniques in Framework Mangerauthors with logical groupings of query Use tools to analyze the model Leverage session, model, and customsubjects Model for Predictable Results: Virtual parametersRapidly create a model using the Model Star Schemas Create prompt macrosDesign Accelerator Model in layers Leverage macro functions associated withWork with Different Query Subject Types Create aliases to avoid ambiguous joins securityIdentify the effects on generated SQL when Merge query subjects to create as view Model Maintenance and Extensibilitymodifying query subjects, SQL settings and behavior Remap metadata to another sourcerelationships Model for Predictable Results: Import and link a second data sourceSet Security in Framework Manager Consolidate Metadata Run scripts to automate or update a modelRestrict access to packages Create virtual dimensions to resolve Create a model reportCreate and apply security filters fact-to-fact joins Optimize and Tune Framework ManagerRestrict access to objects in the model Create a consolidated modeling layer for ModelsCreate Analysis Objects presentation purposes Use Dynamic Query Mode in FrameworkDefine members and member unique names Consolidate snowflake dimensions with ManagerIdentify changes that impact a MUN model query subjects Work in a Multi-Modeler EnvironmentSort members for presentation and Simplify facts by hiding unnecessary Branch a project and merge resultspredictability codes Manage Framework Manager PackagesManage OLAP Data Sources Calculations and Filters Control model versioningPublish an OLAP model Use static filters to reduce the data Nest packagesPublish a model with multiple OLAP data returned Appendix A: Employ Additional Modelingsources Use macros and parameters in TechniquesPublish a model with an OLAP data source calculations and filters to dynamically Set the order of operations in a modeland a relational data source control the data returned calculationAdvanced Generated SQL Concepts and Implement a Time Dimension Externalize query subjectsComplex Queries Resolve confusion caused by multiple Prepare IBM Cognos 10 content for use as

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Stitch query SQL relationships between a time dimension a data source in TransformerConformed and non-conformed dimensions and another table Create query setsin generated SQL Specify Determinants Use external source control throughMulti-fact/multi-grain stitch query SQL Create the Presentation View Windows ExplorerVariances in Report Studio generated SQL Identify conformed vs. non-conformed Appendix B: Model Multilingual MetadataDimensionally modeled relational SQL dimensions Appendix C: Additional Resourcesgeneration Create star schema groupings to provideCross join SQL authors with logical groupings of queryVarious results sets for multi-fact queries subjects lineUse Advanced Parameterization Techniques Rapidly create a model using the Model Describe IBM Cognos componentsin Framework Manger Design Accelerator Describe IBM Cognos architecture at aLeverage session, model, and custom Work with Different Query Subject Types high levelparameters Identify the effects on generated SQL Define IBM Cognos groups and rolesCreate prompt macros when modifying query subjects, SQL Explain how to extend IBM CognosLeverage macro functions associated with settings and relationships Identify Common Data Structuressecurity Set Security in Framework Manager Examine relationships and cardinalityModel Maintenance and Extensibility Restrict access to packages Identify different data trapsRemap metadata to another source Create and apply security filters Examine dimensional data sourcesImport and link a second data source Restrict access to objects in the model Gather RequirementsRun scripts to automate or update a model Create Analysis Objects Define reporting requirementsCreate a model report Define members and member unique Explore data sources to identify dataOptimize and Tune Framework Manager names access strategiesModels Identify changes that impact a MUN Create a Baseline ProjectUse Dynamic Query Mode in Framework Sort members for presentation and Define a project and its structureManager predictability Describe the Framework ManagerWork in a Multi-Modeler Environment Manage OLAP Data Sources environmentBranch a project and merge results Publish an OLAP model Create a baseline projectManage Framework Manager Packages Publish a model with multiple OLAP data Enhance the model with additionalControl model versioning sources metadataNest packages Publish a model with an OLAP data Prepare Reusable MetadataAppendix A: Employ Additional Modeling source and a relational data source Examine relationships, and data trapsTechniques Advanced Generated SQL Concepts and Verify relationships and query itemSet the order of operations in a model Complex Queries propertiescalculation Stitch query SQL Ensure efficient filters by configuringExternalize query subjects Conformed and non-conformed prompt propertiesPrepare IBM Cognos 10 content for use as a dimensions in generated SQL Model for Predictable Results: Identifydata source in Transformer Multi-fact/multi-grain stitch query SQL Reporting IssuesCreate query sets Variances in Report Studio generated Describe how IBM Cognos BI usesUse external source control through SQL cardinalityWindows Explorer Dimensionally modeled relational SQL Identify reporting trapsAppendix B: Model Multilingual Metadata generation Use tools to analyze the modelAppendix C: Additional Resources Cross join SQL Model for Predictable Results: Virtual Star

Various results sets for multi-fact queries SchemasUse Advanced Parameterization Model in layers

line Techniques in Framework Manger Create aliases to avoid ambiguous joinsDiscuss IBM Cognos and Performance Leverage session, model, and custom Merge query subjects to create as viewManagement parameters behaviorExamine the characteristics of operational Create prompt macros Model for Predictable Results: Consolidatedatabases and databases designed for Leverage macro functions associated Metadatareporting with security Create virtual dimensions to resolveExamine key modeling recommendations Model Maintenance and Extensibility fact-to-fact joinsExamine the IBM Cognos BI and Framework Remap metadata to another source Create a consolidated modeling layer forManager workflow processes Import and link a second data source presentation purposesIdentify facts and dimensions Run scripts to automate or update a Consolidate snowflake dimensions withDescribe multi-fact queries and when full model model query subjectsouter joins are appropriate Create a model report Simplify facts by hiding unnecessary codesIdentify the advantages of modeling Optimize and Tune Framework Manager Calculations and Filtersmetadata as a star schema Models Use static filters to reduce the dataCreate virtual facts to simplify writing queries Use Dynamic Query Mode in Framework returnedUse calculations to create Manager Use macros and parameters incommonly-needed query items for authors Work in a Multi-Modeler Environment calculations and filters to dynamicallyMake time-based queries simple to author Branch a project and merge results control the data returnedby implementing a time dimension Manage Framework Manager Packages Implement a Time DimensionUse determinants to specify multiple levels Control model versioning Resolve confusion caused by multipleof granularity and prevent double-counting Nest packages relationships between a time dimensionIdentify the dimensions associated with a Appendix A: Employ Additional Modeling and another table

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fact table Techniques Specify DeterminantsIdentify key differences and Set the order of operations in a model Create the Presentation Viewrecommendations for using data source, calculation Identify conformed vs. non-conformedmodel, and stored procedure query subjects Externalize query subjects dimensionsExamine the IBM Cognos BI security Prepare IBM Cognos 10 content for use Create star schema groupings to provideenvironment as a data source in Transformer authors with logical groupings of queryApply dimensional information to relational Create query sets subjectsMetadata to enable OLAP-style queries Use external source control through Rapidly create a model using the ModelConnect to an OLAP data source (cube) in a Windows Explorer Design AcceleratorFramework Manager project Appendix B: Model Multilingual Metadata Work with Different Query Subject TypesGovernors that affect SQL generation Appendix C: Additional Resources Identify the effects on generated SQLIdentify environment and model session when modifying query subjects, SQLparameters settings and relationshipsPerform basic maintenance and line Set Security in Framework Managermanagement on a model Describe IBM Cognos components Restrict access to packagesIdentify and implement techniques to Describe IBM Cognos architecture at a Create and apply security filtersoptimize and tune your Framework Manager high level Restrict access to objects in the modelmodels Define IBM Cognos groups and roles Create Analysis ObjectsSegment and link a project Explain how to extend IBM Cognos Define members and member uniqueSpecify package languages and function Identify Common Data Structures namessets Examine relationships and cardinality Identify changes that impact a MUNLeverage a user defined function Identify different data traps Sort members for presentation andCustomize metadata for a multilingual Examine dimensional data sources predictabilityaudience Gather Requirements Manage OLAP Data SourcesLinks to sites where the customer can find Define reporting requirements Publish an OLAP modelmore information about course-related Explore data sources to identify data Publish a model with multiple OLAP datamaterial. access strategies sources

Create a Baseline Project Publish a model with an OLAP data sourceDefine a project and its structure and a relational data source

line Describe the Framework Manager Advanced Generated SQL Concepts andDescribe IBM Cognos components environment Complex QueriesDescribe IBM Cognos architecture at a high Create a baseline project Stitch query SQLlevel Enhance the model with additional Conformed and non-conformedDefine IBM Cognos groups and roles metadata dimensions in generated SQLExplain how to extend IBM Cognos Prepare Reusable Metadata Multi-fact/multi-grain stitch query SQLIdentify Common Data Structures Examine relationships, and data traps Variances in Report Studio generated SQLExamine relationships and cardinality Verify relationships and query item Dimensionally modeled relational SQLIdentify different data traps properties generationExamine dimensional data sources Ensure efficient filters by configuring Cross join SQLGather Requirements prompt properties Various results sets for multi-fact queriesDefine reporting requirements Model for Predictable Results: Identify Use Advanced ParameterizationExplore data sources to identify data access Reporting Issues Techniques in Framework Mangerstrategies Describe how IBM Cognos BI uses Leverage session, model, and customCreate a Baseline Project cardinality parametersDefine a project and its structure Identify reporting traps Create prompt macrosDescribe the Framework Manager Use tools to analyze the model Leverage macro functions associated withenvironment Model for Predictable Results: Virtual securityCreate a baseline project Star Schemas Model Maintenance and ExtensibilityEnhance the model with additional metadata Model in layers Remap metadata to another sourcePrepare Reusable Metadata Create aliases to avoid ambiguous joins Import and link a second data sourceExamine relationships, and data traps Merge query subjects to create as view Run scripts to automate or update a modelVerify relationships and query item behavior Create a model reportproperties Model for Predictable Results: Optimize and Tune Framework ManagerEnsure efficient filters by configuring prompt Consolidate Metadata Modelsproperties Create virtual dimensions to resolve Use Dynamic Query Mode in FrameworkModel for Predictable Results: Identify fact-to-fact joins ManagerReporting Issues Create a consolidated modeling layer for Work in a Multi-Modeler EnvironmentDescribe how IBM Cognos BI uses presentation purposes Branch a project and merge resultscardinality Consolidate snowflake dimensions with Manage Framework Manager PackagesIdentify reporting traps model query subjects Control model versioningUse tools to analyze the model Simplify facts by hiding unnecessary Nest packagesModel for Predictable Results: Virtual Star codes Appendix A: Employ Additional ModelingSchemas Calculations and Filters TechniquesModel in layers Use static filters to reduce the data Set the order of operations in a modelCreate aliases to avoid ambiguous joins returned calculationMerge query subjects to create as view Use macros and parameters in Externalize query subjects

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behavior calculations and filters to dynamically Prepare IBM Cognos 10 content for use asModel for Predictable Results: Consolidate control the data returned a data source in TransformerMetadata Implement a Time Dimension Create query setsCreate virtual dimensions to resolve Resolve confusion caused by multiple Use external source control throughfact-to-fact joins relationships between a time dimension Windows ExplorerCreate a consolidated modeling layer for and another table Appendix B: Model Multilingual Metadatapresentation purposes Specify Determinants Appendix C: Additional ResourcesConsolidate snowflake dimensions with Create the Presentation Viewmodel query subjects Identify conformed vs. non-conformedSimplify facts by hiding unnecessary codes dimensions lineCalculations and Filters Create star schema groupings to provide Discuss IBM Cognos and PerformanceUse static filters to reduce the data returned authors with logical groupings of query ManagementUse macros and parameters in calculations subjects Examine the characteristics of operationaland filters to dynamically control the data Rapidly create a model using the Model databases and databases designed forreturned Design Accelerator reportingImplement a Time Dimension Work with Different Query Subject Types Examine key modeling recommendationsResolve confusion caused by multiple Identify the effects on generated SQL Examine the IBM Cognos BI andrelationships between a time dimension and when modifying query subjects, SQL Framework Manager workflow processesanother table settings and relationships Identify facts and dimensionsSpecify Determinants Set Security in Framework Manager Describe multi-fact queries and when fullCreate the Presentation View Restrict access to packages outer joins are appropriateIdentify conformed vs. non-conformed Create and apply security filters Identify the advantages of modelingdimensions Restrict access to objects in the model metadata as a star schemaCreate star schema groupings to provide Create Analysis Objects Create virtual facts to simplify writingauthors with logical groupings of query Define members and member unique queriessubjects names Use calculations to createRapidly create a model using the Model Identify changes that impact a MUN commonly-needed query items for authorsDesign Accelerator Sort members for presentation and Make time-based queries simple to authorWork with Different Query Subject Types predictability by implementing a time dimensionIdentify the effects on generated SQL when Manage OLAP Data Sources Use determinants to specify multiple levelsmodifying query subjects, SQL settings and Publish an OLAP model of granularity and prevent double-countingrelationships Publish a model with multiple OLAP data Identify the dimensions associated with aSet Security in Framework Manager sources fact tableRestrict access to packages Publish a model with an OLAP data Identify key differences andCreate and apply security filters source and a relational data source recommendations for using data source,Restrict access to objects in the model Advanced Generated SQL Concepts and model, and stored procedure queryCreate Analysis Objects Complex Queries subjectsDefine members and member unique names Stitch query SQL Examine the IBM Cognos BI securityIdentify changes that impact a MUN Conformed and non-conformed environmentSort members for presentation and dimensions in generated SQL Apply dimensional information to relationalpredictability Multi-fact/multi-grain stitch query SQL Metadata to enable OLAP-style queriesManage OLAP Data Sources Variances in Report Studio generated Connect to an OLAP data source (cube) inPublish an OLAP model SQL a Framework Manager projectPublish a model with multiple OLAP data Dimensionally modeled relational SQL Governors that affect SQL generationsources generation Identify environment and model sessionPublish a model with an OLAP data source Cross join SQL parametersand a relational data source Various results sets for multi-fact queries Perform basic maintenance andAdvanced Generated SQL Concepts and Use Advanced Parameterization management on a modelComplex Queries Techniques in Framework Manger Identify and implement techniques toStitch query SQL Leverage session, model, and custom optimize and tune your FrameworkConformed and non-conformed dimensions parameters Manager modelsin generated SQL Create prompt macros Segment and link a projectMulti-fact/multi-grain stitch query SQL Leverage macro functions associated Specify package languages and functionVariances in Report Studio generated SQL with security setsDimensionally modeled relational SQL Model Maintenance and Extensibility Leverage a user defined functiongeneration Remap metadata to another source Customize metadata for a multilingualCross join SQL Import and link a second data source audienceVarious results sets for multi-fact queries Run scripts to automate or update a Links to sites where the customer can findUse Advanced Parameterization Techniques model more information about course-relatedin Framework Manger Create a model report material.Leverage session, model, and custom Optimize and Tune Framework Managerparameters ModelsCreate prompt macros Use Dynamic Query Mode in Framework lineLeverage macro functions associated with Manager Describe IBM Cognos componentssecurity Work in a Multi-Modeler Environment Describe IBM Cognos architecture at aModel Maintenance and Extensibility Branch a project and merge results high level

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Remap metadata to another source Manage Framework Manager Packages Define IBM Cognos groups and rolesImport and link a second data source Control model versioning Explain how to extend IBM CognosRun scripts to automate or update a model Nest packages Identify Common Data StructuresCreate a model report Appendix A: Employ Additional Modeling Examine relationships and cardinalityOptimize and Tune Framework Manager Techniques Identify different data trapsModels Set the order of operations in a model Examine dimensional data sourcesUse Dynamic Query Mode in Framework calculation Gather RequirementsManager Externalize query subjects Define reporting requirementsWork in a Multi-Modeler Environment Prepare IBM Cognos 10 content for use Explore data sources to identify dataBranch a project and merge results as a data source in Transformer access strategiesManage Framework Manager Packages Create query sets Create a Baseline ProjectControl model versioning Use external source control through Define a project and its structureNest packages Windows Explorer Describe the Framework ManagerAppendix A: Employ Additional Modeling Appendix B: Model Multilingual Metadata environmentTechniques Appendix C: Additional Resources Create a baseline projectSet the order of operations in a model Enhance the model with additionalcalculation metadataExternalize query subjects line Prepare Reusable MetadataPrepare IBM Cognos 10 content for use as a Discuss IBM Cognos and Performance Examine relationships, and data trapsdata source in Transformer Management Verify relationships and query itemCreate query sets Examine the characteristics of propertiesUse external source control through operational databases and databases Ensure efficient filters by configuringWindows Explorer designed for reporting prompt propertiesAppendix B: Model Multilingual Metadata Examine key modeling recommendations Model for Predictable Results: IdentifyAppendix C: Additional Resources Examine the IBM Cognos BI and Reporting Issues

Framework Manager workflow processes Describe how IBM Cognos BI usesIdentify facts and dimensions cardinality

line Describe multi-fact queries and when full Identify reporting trapsDescribe IBM Cognos components outer joins are appropriate Use tools to analyze the modelDescribe IBM Cognos architecture at a high Identify the advantages of modeling Model for Predictable Results: Virtual Starlevel metadata as a star schema SchemasDefine IBM Cognos groups and roles Create virtual facts to simplify writing Model in layersExplain how to extend IBM Cognos queries Create aliases to avoid ambiguous joinsIdentify Common Data Structures Use calculations to create Merge query subjects to create as viewExamine relationships and cardinality commonly-needed query items for behaviorIdentify different data traps authors Model for Predictable Results: ConsolidateExamine dimensional data sources Make time-based queries simple to MetadataGather Requirements author by implementing a time dimension Create virtual dimensions to resolveDefine reporting requirements Use determinants to specify multiple fact-to-fact joinsExplore data sources to identify data access levels of granularity and prevent Create a consolidated modeling layer forstrategies double-counting presentation purposesCreate a Baseline Project Identify the dimensions associated with a Consolidate snowflake dimensions withDefine a project and its structure fact table model query subjectsDescribe the Framework Manager Identify key differences and Simplify facts by hiding unnecessary codesenvironment recommendations for using data source, Calculations and FiltersCreate a baseline project model, and stored procedure query Use static filters to reduce the dataEnhance the model with additional metadata subjects returnedPrepare Reusable Metadata Examine the IBM Cognos BI security Use macros and parameters inExamine relationships, and data traps environment calculations and filters to dynamicallyVerify relationships and query item Apply dimensional information to control the data returnedproperties relational Metadata to enable OLAP-style Implement a Time DimensionEnsure efficient filters by configuring prompt queries Resolve confusion caused by multipleproperties Connect to an OLAP data source (cube) relationships between a time dimensionModel for Predictable Results: Identify in a Framework Manager project and another tableReporting Issues Governors that affect SQL generation Specify DeterminantsDescribe how IBM Cognos BI uses Identify environment and model session Create the Presentation Viewcardinality parameters Identify conformed vs. non-conformedIdentify reporting traps Perform basic maintenance and dimensionsUse tools to analyze the model management on a model Create star schema groupings to provideModel for Predictable Results: Virtual Star Identify and implement techniques to authors with logical groupings of querySchemas optimize and tune your Framework subjectsModel in layers Manager models Rapidly create a model using the ModelCreate aliases to avoid ambiguous joins Segment and link a project Design AcceleratorMerge query subjects to create as view Specify package languages and function Work with Different Query Subject Typesbehavior sets Identify the effects on generated SQLModel for Predictable Results: Consolidate Leverage a user defined function when modifying query subjects, SQL

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Metadata Customize metadata for a multilingual settings and relationshipsCreate virtual dimensions to resolve audience Set Security in Framework Managerfact-to-fact joins Links to sites where the customer can Restrict access to packagesCreate a consolidated modeling layer for find more information about Create and apply security filterspresentation purposes course-related material. Restrict access to objects in the modelConsolidate snowflake dimensions with Create Analysis Objectsmodel query subjects Define members and member uniqueSimplify facts by hiding unnecessary codes line namesCalculations and Filters Describe IBM Cognos components Identify changes that impact a MUNUse static filters to reduce the data returned Describe IBM Cognos architecture at a Sort members for presentation andUse macros and parameters in calculations high level predictabilityand filters to dynamically control the data Define IBM Cognos groups and roles Manage OLAP Data Sourcesreturned Explain how to extend IBM Cognos Publish an OLAP modelImplement a Time Dimension Identify Common Data Structures Publish a model with multiple OLAP dataResolve confusion caused by multiple Examine relationships and cardinality sourcesrelationships between a time dimension and Identify different data traps Publish a model with an OLAP data sourceanother table Examine dimensional data sources and a relational data sourceSpecify Determinants Gather Requirements Advanced Generated SQL Concepts andCreate the Presentation View Define reporting requirements Complex QueriesIdentify conformed vs. non-conformed Explore data sources to identify data Stitch query SQLdimensions access strategies Conformed and non-conformedCreate star schema groupings to provide Create a Baseline Project dimensions in generated SQLauthors with logical groupings of query Define a project and its structure Multi-fact/multi-grain stitch query SQLsubjects Describe the Framework Manager Variances in Report Studio generated SQLRapidly create a model using the Model environment Dimensionally modeled relational SQLDesign Accelerator Create a baseline project generationWork with Different Query Subject Types Enhance the model with additional Cross join SQLIdentify the effects on generated SQL when metadata Various results sets for multi-fact queriesmodifying query subjects, SQL settings and Prepare Reusable Metadata Use Advanced Parameterizationrelationships Examine relationships, and data traps Techniques in Framework MangerSet Security in Framework Manager Verify relationships and query item Leverage session, model, and customRestrict access to packages properties parametersCreate and apply security filters Ensure efficient filters by configuring Create prompt macrosRestrict access to objects in the model prompt properties Leverage macro functions associated withCreate Analysis Objects Model for Predictable Results: Identify securityDefine members and member unique names Reporting Issues Model Maintenance and ExtensibilityIdentify changes that impact a MUN Describe how IBM Cognos BI uses Remap metadata to another sourceSort members for presentation and cardinality Import and link a second data sourcepredictability Identify reporting traps Run scripts to automate or update a modelManage OLAP Data Sources Use tools to analyze the model Create a model reportPublish an OLAP model Model for Predictable Results: Virtual Optimize and Tune Framework ManagerPublish a model with multiple OLAP data Star Schemas Modelssources Model in layers Use Dynamic Query Mode in FrameworkPublish a model with an OLAP data source Create aliases to avoid ambiguous joins Managerand a relational data source Merge query subjects to create as view Work in a Multi-Modeler EnvironmentAdvanced Generated SQL Concepts and behavior Branch a project and merge resultsComplex Queries Model for Predictable Results: Manage Framework Manager PackagesStitch query SQL Consolidate Metadata Control model versioningConformed and non-conformed dimensions Create virtual dimensions to resolve Nest packagesin generated SQL fact-to-fact joins Appendix A: Employ Additional ModelingMulti-fact/multi-grain stitch query SQL Create a consolidated modeling layer for TechniquesVariances in Report Studio generated SQL presentation purposes Set the order of operations in a modelDimensionally modeled relational SQL Consolidate snowflake dimensions with calculationgeneration model query subjects Externalize query subjectsCross join SQL Simplify facts by hiding unnecessary Prepare IBM Cognos 10 content for use asVarious results sets for multi-fact queries codes a data source in TransformerUse Advanced Parameterization Techniques Calculations and Filters Create query setsin Framework Manger Use static filters to reduce the data Use external source control throughLeverage session, model, and custom returned Windows Explorerparameters Use macros and parameters in Appendix B: Model Multilingual MetadataCreate prompt macros calculations and filters to dynamically Appendix C: Additional ResourcesLeverage macro functions associated with control the data returnedsecurity Implement a Time DimensionModel Maintenance and Extensibility Resolve confusion caused by multiple lineRemap metadata to another source relationships between a time dimension Describe IBM Cognos componentsImport and link a second data source and another table Describe IBM Cognos architecture at a

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Run scripts to automate or update a model Specify Determinants high levelCreate a model report Create the Presentation View Define IBM Cognos groups and rolesOptimize and Tune Framework Manager Identify conformed vs. non-conformed Explain how to extend IBM CognosModels dimensions Identify Common Data StructuresUse Dynamic Query Mode in Framework Create star schema groupings to provide Examine relationships and cardinalityManager authors with logical groupings of query Identify different data trapsWork in a Multi-Modeler Environment subjects Examine dimensional data sourcesBranch a project and merge results Rapidly create a model using the Model Gather RequirementsManage Framework Manager Packages Design Accelerator Define reporting requirementsControl model versioning Work with Different Query Subject Types Explore data sources to identify dataNest packages Identify the effects on generated SQL access strategiesAppendix A: Employ Additional Modeling when modifying query subjects, SQL Create a Baseline ProjectTechniques settings and relationships Define a project and its structureSet the order of operations in a model Set Security in Framework Manager Describe the Framework Managercalculation Restrict access to packages environmentExternalize query subjects Create and apply security filters Create a baseline projectPrepare IBM Cognos 10 content for use as a Restrict access to objects in the model Enhance the model with additionaldata source in Transformer Create Analysis Objects metadataCreate query sets Define members and member unique Prepare Reusable MetadataUse external source control through names Examine relationships, and data trapsWindows Explorer Identify changes that impact a MUN Verify relationships and query itemAppendix B: Model Multilingual Metadata Sort members for presentation and propertiesAppendix C: Additional Resources predictability Ensure efficient filters by configuring

Manage OLAP Data Sources prompt propertiesPublish an OLAP model Model for Predictable Results: Identify

line Publish a model with multiple OLAP data Reporting IssuesDescribe IBM Cognos components sources Describe how IBM Cognos BI usesDescribe IBM Cognos architecture at a high Publish a model with an OLAP data cardinalitylevel source and a relational data source Identify reporting trapsDefine IBM Cognos groups and roles Advanced Generated SQL Concepts and Use tools to analyze the modelExplain how to extend IBM Cognos Complex Queries Model for Predictable Results: Virtual StarIdentify Common Data Structures Stitch query SQL SchemasExamine relationships and cardinality Conformed and non-conformed Model in layersIdentify different data traps dimensions in generated SQL Create aliases to avoid ambiguous joinsExamine dimensional data sources Multi-fact/multi-grain stitch query SQL Merge query subjects to create as viewGather Requirements Variances in Report Studio generated behaviorDefine reporting requirements SQL Model for Predictable Results: ConsolidateExplore data sources to identify data access Dimensionally modeled relational SQL Metadatastrategies generation Create virtual dimensions to resolveCreate a Baseline Project Cross join SQL fact-to-fact joinsDefine a project and its structure Various results sets for multi-fact queries Create a consolidated modeling layer forDescribe the Framework Manager Use Advanced Parameterization presentation purposesenvironment Techniques in Framework Manger Consolidate snowflake dimensions withCreate a baseline project Leverage session, model, and custom model query subjectsEnhance the model with additional metadata parameters Simplify facts by hiding unnecessary codesPrepare Reusable Metadata Create prompt macros Calculations and FiltersExamine relationships, and data traps Leverage macro functions associated Use static filters to reduce the dataVerify relationships and query item with security returnedproperties Model Maintenance and Extensibility Use macros and parameters inEnsure efficient filters by configuring prompt Remap metadata to another source calculations and filters to dynamicallyproperties Import and link a second data source control the data returnedModel for Predictable Results: Identify Run scripts to automate or update a Implement a Time DimensionReporting Issues model Resolve confusion caused by multipleDescribe how IBM Cognos BI uses Create a model report relationships between a time dimensioncardinality Optimize and Tune Framework Manager and another tableIdentify reporting traps Models Specify DeterminantsUse tools to analyze the model Use Dynamic Query Mode in Framework Create the Presentation ViewModel for Predictable Results: Virtual Star Manager Identify conformed vs. non-conformedSchemas Work in a Multi-Modeler Environment dimensionsModel in layers Branch a project and merge results Create star schema groupings to provideCreate aliases to avoid ambiguous joins Manage Framework Manager Packages authors with logical groupings of queryMerge query subjects to create as view Control model versioning subjectsbehavior Nest packages Rapidly create a model using the ModelModel for Predictable Results: Consolidate Appendix A: Employ Additional Modeling Design AcceleratorMetadata Techniques Work with Different Query Subject TypesCreate virtual dimensions to resolve Set the order of operations in a model Identify the effects on generated SQL

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fact-to-fact joins calculation when modifying query subjects, SQLCreate a consolidated modeling layer for Externalize query subjects settings and relationshipspresentation purposes Prepare IBM Cognos 10 content for use Set Security in Framework ManagerConsolidate snowflake dimensions with as a data source in Transformer Restrict access to packagesmodel query subjects Create query sets Create and apply security filtersSimplify facts by hiding unnecessary codes Use external source control through Restrict access to objects in the modelCalculations and Filters Windows Explorer Create Analysis ObjectsUse static filters to reduce the data returned Appendix B: Model Multilingual Metadata Define members and member uniqueUse macros and parameters in calculations Appendix C: Additional Resources namesand filters to dynamically control the data Identify changes that impact a MUNreturned Sort members for presentation andImplement a Time Dimension line predictabilityResolve confusion caused by multiple Describe IBM Cognos components Manage OLAP Data Sourcesrelationships between a time dimension and Describe IBM Cognos architecture at a Publish an OLAP modelanother table high level Publish a model with multiple OLAP dataSpecify Determinants Define IBM Cognos groups and roles sourcesCreate the Presentation View Explain how to extend IBM Cognos Publish a model with an OLAP data sourceIdentify conformed vs. non-conformed Identify Common Data Structures and a relational data sourcedimensions Examine relationships and cardinality Advanced Generated SQL Concepts andCreate star schema groupings to provide Identify different data traps Complex Queriesauthors with logical groupings of query Examine dimensional data sources Stitch query SQLsubjects Gather Requirements Conformed and non-conformedRapidly create a model using the Model Define reporting requirements dimensions in generated SQLDesign Accelerator Explore data sources to identify data Multi-fact/multi-grain stitch query SQLWork with Different Query Subject Types access strategies Variances in Report Studio generated SQLIdentify the effects on generated SQL when Create a Baseline Project Dimensionally modeled relational SQLmodifying query subjects, SQL settings and Define a project and its structure generationrelationships Describe the Framework Manager Cross join SQLSet Security in Framework Manager environment Various results sets for multi-fact queriesRestrict access to packages Create a baseline project Use Advanced ParameterizationCreate and apply security filters Enhance the model with additional Techniques in Framework MangerRestrict access to objects in the model metadata Leverage session, model, and customCreate Analysis Objects Prepare Reusable Metadata parametersDefine members and member unique names Examine relationships, and data traps Create prompt macrosIdentify changes that impact a MUN Verify relationships and query item Leverage macro functions associated withSort members for presentation and properties securitypredictability Ensure efficient filters by configuring Model Maintenance and ExtensibilityManage OLAP Data Sources prompt properties Remap metadata to another sourcePublish an OLAP model Model for Predictable Results: Identify Import and link a second data sourcePublish a model with multiple OLAP data Reporting Issues Run scripts to automate or update a modelsources Describe how IBM Cognos BI uses Create a model reportPublish a model with an OLAP data source cardinality Optimize and Tune Framework Managerand a relational data source Identify reporting traps ModelsAdvanced Generated SQL Concepts and Use tools to analyze the model Use Dynamic Query Mode in FrameworkComplex Queries Model for Predictable Results: Virtual ManagerStitch query SQL Star Schemas Work in a Multi-Modeler EnvironmentConformed and non-conformed dimensions Model in layers Branch a project and merge resultsin generated SQL Create aliases to avoid ambiguous joins Manage Framework Manager PackagesMulti-fact/multi-grain stitch query SQL Merge query subjects to create as view Control model versioningVariances in Report Studio generated SQL behavior Nest packagesDimensionally modeled relational SQL Model for Predictable Results: Appendix A: Employ Additional Modelinggeneration Consolidate Metadata TechniquesCross join SQL Create virtual dimensions to resolve Set the order of operations in a modelVarious results sets for multi-fact queries fact-to-fact joins calculationUse Advanced Parameterization Techniques Create a consolidated modeling layer for Externalize query subjectsin Framework Manger presentation purposes Prepare IBM Cognos 10 content for use asLeverage session, model, and custom Consolidate snowflake dimensions with a data source in Transformerparameters model query subjects Create query setsCreate prompt macros Simplify facts by hiding unnecessary Use external source control throughLeverage macro functions associated with codes Windows Explorersecurity Calculations and Filters Appendix B: Model Multilingual MetadataModel Maintenance and Extensibility Use static filters to reduce the data Appendix C: Additional ResourcesRemap metadata to another source returnedImport and link a second data source Use macros and parameters inRun scripts to automate or update a model calculations and filters to dynamically lineCreate a model report control the data returned Describe IBM Cognos components

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Optimize and Tune Framework Manager Implement a Time Dimension Describe IBM Cognos architecture at aModels Resolve confusion caused by multiple high levelUse Dynamic Query Mode in Framework relationships between a time dimension Define IBM Cognos groups and rolesManager and another table Explain how to extend IBM CognosWork in a Multi-Modeler Environment Specify Determinants Identify Common Data StructuresBranch a project and merge results Create the Presentation View Examine relationships and cardinalityManage Framework Manager Packages Identify conformed vs. non-conformed Identify different data trapsControl model versioning dimensions Examine dimensional data sourcesNest packages Create star schema groupings to provide Gather RequirementsAppendix A: Employ Additional Modeling authors with logical groupings of query Define reporting requirementsTechniques subjects Explore data sources to identify dataSet the order of operations in a model Rapidly create a model using the Model access strategiescalculation Design Accelerator Create a Baseline ProjectExternalize query subjects Work with Different Query Subject Types Define a project and its structurePrepare IBM Cognos 10 content for use as a Identify the effects on generated SQL Describe the Framework Managerdata source in Transformer when modifying query subjects, SQL environmentCreate query sets settings and relationships Create a baseline projectUse external source control through Set Security in Framework Manager Enhance the model with additionalWindows Explorer Restrict access to packages metadataAppendix B: Model Multilingual Metadata Create and apply security filters Prepare Reusable MetadataAppendix C: Additional Resources Restrict access to objects in the model Examine relationships, and data traps

Create Analysis Objects Verify relationships and query itemDefine members and member unique properties

line names Ensure efficient filters by configuringDescribe IBM Cognos components Identify changes that impact a MUN prompt propertiesDescribe IBM Cognos architecture at a high Sort members for presentation and Model for Predictable Results: Identifylevel predictability Reporting IssuesDefine IBM Cognos groups and roles Manage OLAP Data Sources Describe how IBM Cognos BI usesExplain how to extend IBM Cognos Publish an OLAP model cardinalityIdentify Common Data Structures Publish a model with multiple OLAP data Identify reporting trapsExamine relationships and cardinality sources Use tools to analyze the modelIdentify different data traps Publish a model with an OLAP data Model for Predictable Results: Virtual StarExamine dimensional data sources source and a relational data source SchemasGather Requirements Advanced Generated SQL Concepts and Model in layersDefine reporting requirements Complex Queries Create aliases to avoid ambiguous joinsExplore data sources to identify data access Stitch query SQL Merge query subjects to create as viewstrategies Conformed and non-conformed behaviorCreate a Baseline Project dimensions in generated SQL Model for Predictable Results: ConsolidateDefine a project and its structure Multi-fact/multi-grain stitch query SQL MetadataDescribe the Framework Manager Variances in Report Studio generated Create virtual dimensions to resolveenvironment SQL fact-to-fact joinsCreate a baseline project Dimensionally modeled relational SQL Create a consolidated modeling layer forEnhance the model with additional metadata generation presentation purposesPrepare Reusable Metadata Cross join SQL Consolidate snowflake dimensions withExamine relationships, and data traps Various results sets for multi-fact queries model query subjectsVerify relationships and query item Use Advanced Parameterization Simplify facts by hiding unnecessary codesproperties Techniques in Framework Manger Calculations and FiltersEnsure efficient filters by configuring prompt Leverage session, model, and custom Use static filters to reduce the dataproperties parameters returnedModel for Predictable Results: Identify Create prompt macros Use macros and parameters inReporting Issues Leverage macro functions associated calculations and filters to dynamicallyDescribe how IBM Cognos BI uses with security control the data returnedcardinality Model Maintenance and Extensibility Implement a Time DimensionIdentify reporting traps Remap metadata to another source Resolve confusion caused by multipleUse tools to analyze the model Import and link a second data source relationships between a time dimensionModel for Predictable Results: Virtual Star Run scripts to automate or update a and another tableSchemas model Specify DeterminantsModel in layers Create a model report Create the Presentation ViewCreate aliases to avoid ambiguous joins Optimize and Tune Framework Manager Identify conformed vs. non-conformedMerge query subjects to create as view Models dimensionsbehavior Use Dynamic Query Mode in Framework Create star schema groupings to provideModel for Predictable Results: Consolidate Manager authors with logical groupings of queryMetadata Work in a Multi-Modeler Environment subjectsCreate virtual dimensions to resolve Branch a project and merge results Rapidly create a model using the Modelfact-to-fact joins Manage Framework Manager Packages Design AcceleratorCreate a consolidated modeling layer for Control model versioning Work with Different Query Subject Types

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presentation purposes Nest packages Identify the effects on generated SQLConsolidate snowflake dimensions with Appendix A: Employ Additional Modeling when modifying query subjects, SQLmodel query subjects Techniques settings and relationshipsSimplify facts by hiding unnecessary codes Set the order of operations in a model Set Security in Framework ManagerCalculations and Filters calculation Restrict access to packagesUse static filters to reduce the data returned Externalize query subjects Create and apply security filtersUse macros and parameters in calculations Prepare IBM Cognos 10 content for use Restrict access to objects in the modeland filters to dynamically control the data as a data source in Transformer Create Analysis Objectsreturned Create query sets Define members and member uniqueImplement a Time Dimension Use external source control through namesResolve confusion caused by multiple Windows Explorer Identify changes that impact a MUNrelationships between a time dimension and Appendix B: Model Multilingual Metadata Sort members for presentation andanother table Appendix C: Additional Resources predictabilitySpecify Determinants Manage OLAP Data SourcesCreate the Presentation View Publish an OLAP modelIdentify conformed vs. non-conformed line Publish a model with multiple OLAP datadimensions Discuss IBM Cognos and Performance sourcesCreate star schema groupings to provide Management Publish a model with an OLAP data sourceauthors with logical groupings of query Examine the characteristics of and a relational data sourcesubjects operational databases and databases Advanced Generated SQL Concepts andRapidly create a model using the Model designed for reporting Complex QueriesDesign Accelerator Examine key modeling recommendations Stitch query SQLWork with Different Query Subject Types Examine the IBM Cognos BI and Conformed and non-conformedIdentify the effects on generated SQL when Framework Manager workflow processes dimensions in generated SQLmodifying query subjects, SQL settings and Identify facts and dimensions Multi-fact/multi-grain stitch query SQLrelationships Describe multi-fact queries and when full Variances in Report Studio generated SQLSet Security in Framework Manager outer joins are appropriate Dimensionally modeled relational SQLRestrict access to packages Identify the advantages of modeling generationCreate and apply security filters metadata as a star schema Cross join SQLRestrict access to objects in the model Create virtual facts to simplify writing Various results sets for multi-fact queriesCreate Analysis Objects queries Use Advanced ParameterizationDefine members and member unique names Use calculations to create Techniques in Framework MangerIdentify changes that impact a MUN commonly-needed query items for Leverage session, model, and customSort members for presentation and authors parameterspredictability Make time-based queries simple to Create prompt macrosManage OLAP Data Sources author by implementing a time dimension Leverage macro functions associated withPublish an OLAP model Use determinants to specify multiple securityPublish a model with multiple OLAP data levels of granularity and prevent Model Maintenance and Extensibilitysources double-counting Remap metadata to another sourcePublish a model with an OLAP data source Identify the dimensions associated with a Import and link a second data sourceand a relational data source fact table Run scripts to automate or update a modelAdvanced Generated SQL Concepts and Identify key differences and Create a model reportComplex Queries recommendations for using data source, Optimize and Tune Framework ManagerStitch query SQL model, and stored procedure query ModelsConformed and non-conformed dimensions subjects Use Dynamic Query Mode in Frameworkin generated SQL Examine the IBM Cognos BI security ManagerMulti-fact/multi-grain stitch query SQL environment Work in a Multi-Modeler EnvironmentVariances in Report Studio generated SQL Apply dimensional information to Branch a project and merge resultsDimensionally modeled relational SQL relational Metadata to enable OLAP-style Manage Framework Manager Packagesgeneration queries Control model versioningCross join SQL Connect to an OLAP data source (cube) Nest packagesVarious results sets for multi-fact queries in a Framework Manager project Appendix A: Employ Additional ModelingUse Advanced Parameterization Techniques Governors that affect SQL generation Techniquesin Framework Manger Identify environment and model session Set the order of operations in a modelLeverage session, model, and custom parameters calculationparameters Perform basic maintenance and Externalize query subjectsCreate prompt macros management on a model Prepare IBM Cognos 10 content for use asLeverage macro functions associated with Identify and implement techniques to a data source in Transformersecurity optimize and tune your Framework Create query setsModel Maintenance and Extensibility Manager models Use external source control throughRemap metadata to another source Segment and link a project Windows ExplorerImport and link a second data source Specify package languages and function Appendix B: Model Multilingual MetadataRun scripts to automate or update a model sets Appendix C: Additional ResourcesCreate a model report Leverage a user defined functionOptimize and Tune Framework Manager Customize metadata for a multilingualModels audience line

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Use Dynamic Query Mode in Framework Links to sites where the customer can Describe IBM Cognos componentsManager find more information about Describe IBM Cognos architecture at aWork in a Multi-Modeler Environment course-related material. high levelBranch a project and merge results Define IBM Cognos groups and rolesManage Framework Manager Packages Explain how to extend IBM CognosControl model versioning line Identify Common Data StructuresNest packages Describe IBM Cognos components Examine relationships and cardinalityAppendix A: Employ Additional Modeling Describe IBM Cognos architecture at a Identify different data trapsTechniques high level Examine dimensional data sourcesSet the order of operations in a model Define IBM Cognos groups and roles Gather Requirementscalculation Explain how to extend IBM Cognos Define reporting requirementsExternalize query subjects Identify Common Data Structures Explore data sources to identify dataPrepare IBM Cognos 10 content for use as a Examine relationships and cardinality access strategiesdata source in Transformer Identify different data traps Create a Baseline ProjectCreate query sets Examine dimensional data sources Define a project and its structureUse external source control through Gather Requirements Describe the Framework ManagerWindows Explorer Define reporting requirements environmentAppendix B: Model Multilingual Metadata Explore data sources to identify data Create a baseline projectAppendix C: Additional Resources access strategies Enhance the model with additional

Create a Baseline Project metadataDefine a project and its structure Prepare Reusable Metadata

line Describe the Framework Manager Examine relationships, and data trapsDiscuss IBM Cognos and Performance environment Verify relationships and query itemManagement Create a baseline project propertiesExamine the characteristics of operational Enhance the model with additional Ensure efficient filters by configuringdatabases and databases designed for metadata prompt propertiesreporting Prepare Reusable Metadata Model for Predictable Results: IdentifyExamine key modeling recommendations Examine relationships, and data traps Reporting IssuesExamine the IBM Cognos BI and Framework Verify relationships and query item Describe how IBM Cognos BI usesManager workflow processes properties cardinalityIdentify facts and dimensions Ensure efficient filters by configuring Identify reporting trapsDescribe multi-fact queries and when full prompt properties Use tools to analyze the modelouter joins are appropriate Model for Predictable Results: Identify Model for Predictable Results: Virtual StarIdentify the advantages of modeling Reporting Issues Schemasmetadata as a star schema Describe how IBM Cognos BI uses Model in layersCreate virtual facts to simplify writing queries cardinality Create aliases to avoid ambiguous joinsUse calculations to create Identify reporting traps Merge query subjects to create as viewcommonly-needed query items for authors Use tools to analyze the model behaviorMake time-based queries simple to author Model for Predictable Results: Virtual Model for Predictable Results: Consolidateby implementing a time dimension Star Schemas MetadataUse determinants to specify multiple levels Model in layers Create virtual dimensions to resolveof granularity and prevent double-counting Create aliases to avoid ambiguous joins fact-to-fact joinsIdentify the dimensions associated with a Merge query subjects to create as view Create a consolidated modeling layer forfact table behavior presentation purposesIdentify key differences and Model for Predictable Results: Consolidate snowflake dimensions withrecommendations for using data source, Consolidate Metadata model query subjectsmodel, and stored procedure query subjects Create virtual dimensions to resolve Simplify facts by hiding unnecessary codesExamine the IBM Cognos BI security fact-to-fact joins Calculations and Filtersenvironment Create a consolidated modeling layer for Use static filters to reduce the dataApply dimensional information to relational presentation purposes returnedMetadata to enable OLAP-style queries Consolidate snowflake dimensions with Use macros and parameters inConnect to an OLAP data source (cube) in a model query subjects calculations and filters to dynamicallyFramework Manager project Simplify facts by hiding unnecessary control the data returnedGovernors that affect SQL generation codes Implement a Time DimensionIdentify environment and model session Calculations and Filters Resolve confusion caused by multipleparameters Use static filters to reduce the data relationships between a time dimensionPerform basic maintenance and returned and another tablemanagement on a model Use macros and parameters in Specify DeterminantsIdentify and implement techniques to calculations and filters to dynamically Create the Presentation Viewoptimize and tune your Framework Manager control the data returned Identify conformed vs. non-conformedmodels Implement a Time Dimension dimensionsSegment and link a project Resolve confusion caused by multiple Create star schema groupings to provideSpecify package languages and function relationships between a time dimension authors with logical groupings of querysets and another table subjectsLeverage a user defined function Specify Determinants Rapidly create a model using the ModelCustomize metadata for a multilingual Create the Presentation View Design Accelerator

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audience Identify conformed vs. non-conformed Work with Different Query Subject TypesLinks to sites where the customer can find dimensions Identify the effects on generated SQLmore information about course-related Create star schema groupings to provide when modifying query subjects, SQLmaterial. authors with logical groupings of query settings and relationships

subjects Set Security in Framework ManagerRapidly create a model using the Model Restrict access to packages

line Design Accelerator Create and apply security filtersDescribe IBM Cognos components Work with Different Query Subject Types Restrict access to objects in the modelDescribe IBM Cognos architecture at a high Identify the effects on generated SQL Create Analysis Objectslevel when modifying query subjects, SQL Define members and member uniqueDefine IBM Cognos groups and roles settings and relationships namesExplain how to extend IBM Cognos Set Security in Framework Manager Identify changes that impact a MUNIdentify Common Data Structures Restrict access to packages Sort members for presentation andExamine relationships and cardinality Create and apply security filters predictabilityIdentify different data traps Restrict access to objects in the model Manage OLAP Data SourcesExamine dimensional data sources Create Analysis Objects Publish an OLAP modelGather Requirements Define members and member unique Publish a model with multiple OLAP dataDefine reporting requirements names sourcesExplore data sources to identify data access Identify changes that impact a MUN Publish a model with an OLAP data sourcestrategies Sort members for presentation and and a relational data sourceCreate a Baseline Project predictability Advanced Generated SQL Concepts andDefine a project and its structure Manage OLAP Data Sources Complex QueriesDescribe the Framework Manager Publish an OLAP model Stitch query SQLenvironment Publish a model with multiple OLAP data Conformed and non-conformedCreate a baseline project sources dimensions in generated SQLEnhance the model with additional metadata Publish a model with an OLAP data Multi-fact/multi-grain stitch query SQLPrepare Reusable Metadata source and a relational data source Variances in Report Studio generated SQLExamine relationships, and data traps Advanced Generated SQL Concepts and Dimensionally modeled relational SQLVerify relationships and query item Complex Queries generationproperties Stitch query SQL Cross join SQLEnsure efficient filters by configuring prompt Conformed and non-conformed Various results sets for multi-fact queriesproperties dimensions in generated SQL Use Advanced ParameterizationModel for Predictable Results: Identify Multi-fact/multi-grain stitch query SQL Techniques in Framework MangerReporting Issues Variances in Report Studio generated Leverage session, model, and customDescribe how IBM Cognos BI uses SQL parameterscardinality Dimensionally modeled relational SQL Create prompt macrosIdentify reporting traps generation Leverage macro functions associated withUse tools to analyze the model Cross join SQL securityModel for Predictable Results: Virtual Star Various results sets for multi-fact queries Model Maintenance and ExtensibilitySchemas Use Advanced Parameterization Remap metadata to another sourceModel in layers Techniques in Framework Manger Import and link a second data sourceCreate aliases to avoid ambiguous joins Leverage session, model, and custom Run scripts to automate or update a modelMerge query subjects to create as view parameters Create a model reportbehavior Create prompt macros Optimize and Tune Framework ManagerModel for Predictable Results: Consolidate Leverage macro functions associated ModelsMetadata with security Use Dynamic Query Mode in FrameworkCreate virtual dimensions to resolve Model Maintenance and Extensibility Managerfact-to-fact joins Remap metadata to another source Work in a Multi-Modeler EnvironmentCreate a consolidated modeling layer for Import and link a second data source Branch a project and merge resultspresentation purposes Run scripts to automate or update a Manage Framework Manager PackagesConsolidate snowflake dimensions with model Control model versioningmodel query subjects Create a model report Nest packagesSimplify facts by hiding unnecessary codes Optimize and Tune Framework Manager Appendix A: Employ Additional ModelingCalculations and Filters Models TechniquesUse static filters to reduce the data returned Use Dynamic Query Mode in Framework Set the order of operations in a modelUse macros and parameters in calculations Manager calculationand filters to dynamically control the data Work in a Multi-Modeler Environment Externalize query subjectsreturned Branch a project and merge results Prepare IBM Cognos 10 content for use asImplement a Time Dimension Manage Framework Manager Packages a data source in TransformerResolve confusion caused by multiple Control model versioning Create query setsrelationships between a time dimension and Nest packages Use external source control throughanother table Appendix A: Employ Additional Modeling Windows ExplorerSpecify Determinants Techniques Appendix B: Model Multilingual MetadataCreate the Presentation View Set the order of operations in a model Appendix C: Additional ResourcesIdentify conformed vs. non-conformed calculationdimensions Externalize query subjects

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Create star schema groupings to provide Prepare IBM Cognos 10 content for use lineauthors with logical groupings of query as a data source in Transformer Discuss IBM Cognos and Performancesubjects Create query sets ManagementRapidly create a model using the Model Use external source control through Examine the characteristics of operationalDesign Accelerator Windows Explorer databases and databases designed forWork with Different Query Subject Types Appendix B: Model Multilingual Metadata reportingIdentify the effects on generated SQL when Appendix C: Additional Resources Examine key modeling recommendationsmodifying query subjects, SQL settings and Examine the IBM Cognos BI andrelationships Framework Manager workflow processesSet Security in Framework Manager line Identify facts and dimensionsRestrict access to packages Discuss IBM Cognos and Performance Describe multi-fact queries and when fullCreate and apply security filters Management outer joins are appropriateRestrict access to objects in the model Examine the characteristics of Identify the advantages of modelingCreate Analysis Objects operational databases and databases metadata as a star schemaDefine members and member unique names designed for reporting Create virtual facts to simplify writingIdentify changes that impact a MUN Examine key modeling recommendations queriesSort members for presentation and Examine the IBM Cognos BI and Use calculations to createpredictability Framework Manager workflow processes commonly-needed query items for authorsManage OLAP Data Sources Identify facts and dimensions Make time-based queries simple to authorPublish an OLAP model Describe multi-fact queries and when full by implementing a time dimensionPublish a model with multiple OLAP data outer joins are appropriate Use determinants to specify multiple levelssources Identify the advantages of modeling of granularity and prevent double-countingPublish a model with an OLAP data source metadata as a star schema Identify the dimensions associated with aand a relational data source Create virtual facts to simplify writing fact tableAdvanced Generated SQL Concepts and queries Identify key differences andComplex Queries Use calculations to create recommendations for using data source,Stitch query SQL commonly-needed query items for model, and stored procedure queryConformed and non-conformed dimensions authors subjectsin generated SQL Make time-based queries simple to Examine the IBM Cognos BI securityMulti-fact/multi-grain stitch query SQL author by implementing a time dimension environmentVariances in Report Studio generated SQL Use determinants to specify multiple Apply dimensional information to relationalDimensionally modeled relational SQL levels of granularity and prevent Metadata to enable OLAP-style queriesgeneration double-counting Connect to an OLAP data source (cube) inCross join SQL Identify the dimensions associated with a a Framework Manager projectVarious results sets for multi-fact queries fact table Governors that affect SQL generationUse Advanced Parameterization Techniques Identify key differences and Identify environment and model sessionin Framework Manger recommendations for using data source, parametersLeverage session, model, and custom model, and stored procedure query Perform basic maintenance andparameters subjects management on a modelCreate prompt macros Examine the IBM Cognos BI security Identify and implement techniques toLeverage macro functions associated with environment optimize and tune your Frameworksecurity Apply dimensional information to Manager modelsModel Maintenance and Extensibility relational Metadata to enable OLAP-style Segment and link a projectRemap metadata to another source queries Specify package languages and functionImport and link a second data source Connect to an OLAP data source (cube) setsRun scripts to automate or update a model in a Framework Manager project Leverage a user defined functionCreate a model report Governors that affect SQL generation Customize metadata for a multilingualOptimize and Tune Framework Manager Identify environment and model session audienceModels parameters Links to sites where the customer can findUse Dynamic Query Mode in Framework Perform basic maintenance and more information about course-relatedManager management on a model material.Work in a Multi-Modeler Environment Identify and implement techniques toBranch a project and merge results optimize and tune your FrameworkManage Framework Manager Packages Manager models lineControl model versioning Segment and link a project Describe IBM Cognos componentsNest packages Specify package languages and function Describe IBM Cognos architecture at aAppendix A: Employ Additional Modeling sets high levelTechniques Leverage a user defined function Define IBM Cognos groups and rolesSet the order of operations in a model Customize metadata for a multilingual Explain how to extend IBM Cognoscalculation audience Identify Common Data StructuresExternalize query subjects Links to sites where the customer can Examine relationships and cardinalityPrepare IBM Cognos 10 content for use as a find more information about Identify different data trapsdata source in Transformer course-related material. Examine dimensional data sourcesCreate query sets Gather RequirementsUse external source control through Define reporting requirementsWindows Explorer line Explore data sources to identify data

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Appendix B: Model Multilingual Metadata Describe IBM Cognos components access strategiesAppendix C: Additional Resources Describe IBM Cognos architecture at a Create a Baseline Project

high level Define a project and its structureDefine IBM Cognos groups and roles Describe the Framework Manager

line Explain how to extend IBM Cognos environmentDescribe IBM Cognos components Identify Common Data Structures Create a baseline projectDescribe IBM Cognos architecture at a high Examine relationships and cardinality Enhance the model with additionallevel Identify different data traps metadataDefine IBM Cognos groups and roles Examine dimensional data sources Prepare Reusable MetadataExplain how to extend IBM Cognos Gather Requirements Examine relationships, and data trapsIdentify Common Data Structures Define reporting requirements Verify relationships and query itemExamine relationships and cardinality Explore data sources to identify data propertiesIdentify different data traps access strategies Ensure efficient filters by configuringExamine dimensional data sources Create a Baseline Project prompt propertiesGather Requirements Define a project and its structure Model for Predictable Results: IdentifyDefine reporting requirements Describe the Framework Manager Reporting IssuesExplore data sources to identify data access environment Describe how IBM Cognos BI usesstrategies Create a baseline project cardinalityCreate a Baseline Project Enhance the model with additional Identify reporting trapsDefine a project and its structure metadata Use tools to analyze the modelDescribe the Framework Manager Prepare Reusable Metadata Model for Predictable Results: Virtual Starenvironment Examine relationships, and data traps SchemasCreate a baseline project Verify relationships and query item Model in layersEnhance the model with additional metadata properties Create aliases to avoid ambiguous joinsPrepare Reusable Metadata Ensure efficient filters by configuring Merge query subjects to create as viewExamine relationships, and data traps prompt properties behaviorVerify relationships and query item Model for Predictable Results: Identify Model for Predictable Results: Consolidateproperties Reporting Issues MetadataEnsure efficient filters by configuring prompt Describe how IBM Cognos BI uses Create virtual dimensions to resolveproperties cardinality fact-to-fact joinsModel for Predictable Results: Identify Identify reporting traps Create a consolidated modeling layer forReporting Issues Use tools to analyze the model presentation purposesDescribe how IBM Cognos BI uses Model for Predictable Results: Virtual Consolidate snowflake dimensions withcardinality Star Schemas model query subjectsIdentify reporting traps Model in layers Simplify facts by hiding unnecessary codesUse tools to analyze the model Create aliases to avoid ambiguous joins Calculations and FiltersModel for Predictable Results: Virtual Star Merge query subjects to create as view Use static filters to reduce the dataSchemas behavior returnedModel in layers Model for Predictable Results: Use macros and parameters inCreate aliases to avoid ambiguous joins Consolidate Metadata calculations and filters to dynamicallyMerge query subjects to create as view Create virtual dimensions to resolve control the data returnedbehavior fact-to-fact joins Implement a Time DimensionModel for Predictable Results: Consolidate Create a consolidated modeling layer for Resolve confusion caused by multipleMetadata presentation purposes relationships between a time dimensionCreate virtual dimensions to resolve Consolidate snowflake dimensions with and another tablefact-to-fact joins model query subjects Specify DeterminantsCreate a consolidated modeling layer for Simplify facts by hiding unnecessary Create the Presentation Viewpresentation purposes codes Identify conformed vs. non-conformedConsolidate snowflake dimensions with Calculations and Filters dimensionsmodel query subjects Use static filters to reduce the data Create star schema groupings to provideSimplify facts by hiding unnecessary codes returned authors with logical groupings of queryCalculations and Filters Use macros and parameters in subjectsUse static filters to reduce the data returned calculations and filters to dynamically Rapidly create a model using the ModelUse macros and parameters in calculations control the data returned Design Acceleratorand filters to dynamically control the data Implement a Time Dimension Work with Different Query Subject Typesreturned Resolve confusion caused by multiple Identify the effects on generated SQLImplement a Time Dimension relationships between a time dimension when modifying query subjects, SQLResolve confusion caused by multiple and another table settings and relationshipsrelationships between a time dimension and Specify Determinants Set Security in Framework Manageranother table Create the Presentation View Restrict access to packagesSpecify Determinants Identify conformed vs. non-conformed Create and apply security filtersCreate the Presentation View dimensions Restrict access to objects in the modelIdentify conformed vs. non-conformed Create star schema groupings to provide Create Analysis Objectsdimensions authors with logical groupings of query Define members and member uniqueCreate star schema groupings to provide subjects namesauthors with logical groupings of query Rapidly create a model using the Model Identify changes that impact a MUN

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subjects Design Accelerator Sort members for presentation andRapidly create a model using the Model Work with Different Query Subject Types predictabilityDesign Accelerator Identify the effects on generated SQL Manage OLAP Data SourcesWork with Different Query Subject Types when modifying query subjects, SQL Publish an OLAP modelIdentify the effects on generated SQL when settings and relationships Publish a model with multiple OLAP datamodifying query subjects, SQL settings and Set Security in Framework Manager sourcesrelationships Restrict access to packages Publish a model with an OLAP data sourceSet Security in Framework Manager Create and apply security filters and a relational data sourceRestrict access to packages Restrict access to objects in the model Advanced Generated SQL Concepts andCreate and apply security filters Create Analysis Objects Complex QueriesRestrict access to objects in the model Define members and member unique Stitch query SQLCreate Analysis Objects names Conformed and non-conformedDefine members and member unique names Identify changes that impact a MUN dimensions in generated SQLIdentify changes that impact a MUN Sort members for presentation and Multi-fact/multi-grain stitch query SQLSort members for presentation and predictability Variances in Report Studio generated SQLpredictability Manage OLAP Data Sources Dimensionally modeled relational SQLManage OLAP Data Sources Publish an OLAP model generationPublish an OLAP model Publish a model with multiple OLAP data Cross join SQLPublish a model with multiple OLAP data sources Various results sets for multi-fact queriessources Publish a model with an OLAP data Use Advanced ParameterizationPublish a model with an OLAP data source source and a relational data source Techniques in Framework Mangerand a relational data source Advanced Generated SQL Concepts and Leverage session, model, and customAdvanced Generated SQL Concepts and Complex Queries parametersComplex Queries Stitch query SQL Create prompt macrosStitch query SQL Conformed and non-conformed Leverage macro functions associated withConformed and non-conformed dimensions dimensions in generated SQL securityin generated SQL Multi-fact/multi-grain stitch query SQL Model Maintenance and ExtensibilityMulti-fact/multi-grain stitch query SQL Variances in Report Studio generated Remap metadata to another sourceVariances in Report Studio generated SQL SQL Import and link a second data sourceDimensionally modeled relational SQL Dimensionally modeled relational SQL Run scripts to automate or update a modelgeneration generation Create a model reportCross join SQL Cross join SQL Optimize and Tune Framework ManagerVarious results sets for multi-fact queries Various results sets for multi-fact queries ModelsUse Advanced Parameterization Techniques Use Advanced Parameterization Use Dynamic Query Mode in Frameworkin Framework Manger Techniques in Framework Manger ManagerLeverage session, model, and custom Leverage session, model, and custom Work in a Multi-Modeler Environmentparameters parameters Branch a project and merge resultsCreate prompt macros Create prompt macros Manage Framework Manager PackagesLeverage macro functions associated with Leverage macro functions associated Control model versioningsecurity with security Nest packagesModel Maintenance and Extensibility Model Maintenance and Extensibility Appendix A: Employ Additional ModelingRemap metadata to another source Remap metadata to another source TechniquesImport and link a second data source Import and link a second data source Set the order of operations in a modelRun scripts to automate or update a model Run scripts to automate or update a calculationCreate a model report model Externalize query subjectsOptimize and Tune Framework Manager Create a model report Prepare IBM Cognos 10 content for use asModels Optimize and Tune Framework Manager a data source in TransformerUse Dynamic Query Mode in Framework Models Create query setsManager Use Dynamic Query Mode in Framework Use external source control throughWork in a Multi-Modeler Environment Manager Windows ExplorerBranch a project and merge results Work in a Multi-Modeler Environment Appendix B: Model Multilingual MetadataManage Framework Manager Packages Branch a project and merge results Appendix C: Additional ResourcesControl model versioning Manage Framework Manager PackagesNest packages Control model versioningAppendix A: Employ Additional Modeling Nest packages lineTechniques Appendix A: Employ Additional Modeling Describe IBM Cognos componentsSet the order of operations in a model Techniques Describe IBM Cognos architecture at acalculation Set the order of operations in a model high levelExternalize query subjects calculation Define IBM Cognos groups and rolesPrepare IBM Cognos 10 content for use as a Externalize query subjects Explain how to extend IBM Cognosdata source in Transformer Prepare IBM Cognos 10 content for use Identify Common Data StructuresCreate query sets as a data source in Transformer Examine relationships and cardinalityUse external source control through Create query sets Identify different data trapsWindows Explorer Use external source control through Examine dimensional data sourcesAppendix B: Model Multilingual Metadata Windows Explorer Gather RequirementsAppendix C: Additional Resources Appendix B: Model Multilingual Metadata Define reporting requirements

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Appendix C: Additional Resources Explore data sources to identify dataaccess strategies

line Create a Baseline ProjectDescribe IBM Cognos components line Define a project and its structureDescribe IBM Cognos architecture at a high Describe IBM Cognos components Describe the Framework Managerlevel Describe IBM Cognos architecture at a environmentDefine IBM Cognos groups and roles high level Create a baseline projectExplain how to extend IBM Cognos Define IBM Cognos groups and roles Enhance the model with additionalIdentify Common Data Structures Explain how to extend IBM Cognos metadataExamine relationships and cardinality Identify Common Data Structures Prepare Reusable MetadataIdentify different data traps Examine relationships and cardinality Examine relationships, and data trapsExamine dimensional data sources Identify different data traps Verify relationships and query itemGather Requirements Examine dimensional data sources propertiesDefine reporting requirements Gather Requirements Ensure efficient filters by configuringExplore data sources to identify data access Define reporting requirements prompt propertiesstrategies Explore data sources to identify data Model for Predictable Results: IdentifyCreate a Baseline Project access strategies Reporting IssuesDefine a project and its structure Create a Baseline Project Describe how IBM Cognos BI usesDescribe the Framework Manager Define a project and its structure cardinalityenvironment Describe the Framework Manager Identify reporting trapsCreate a baseline project environment Use tools to analyze the modelEnhance the model with additional metadata Create a baseline project Model for Predictable Results: Virtual StarPrepare Reusable Metadata Enhance the model with additional SchemasExamine relationships, and data traps metadata Model in layersVerify relationships and query item Prepare Reusable Metadata Create aliases to avoid ambiguous joinsproperties Examine relationships, and data traps Merge query subjects to create as viewEnsure efficient filters by configuring prompt Verify relationships and query item behaviorproperties properties Model for Predictable Results: ConsolidateModel for Predictable Results: Identify Ensure efficient filters by configuring MetadataReporting Issues prompt properties Create virtual dimensions to resolveDescribe how IBM Cognos BI uses Model for Predictable Results: Identify fact-to-fact joinscardinality Reporting Issues Create a consolidated modeling layer forIdentify reporting traps Describe how IBM Cognos BI uses presentation purposesUse tools to analyze the model cardinality Consolidate snowflake dimensions withModel for Predictable Results: Virtual Star Identify reporting traps model query subjectsSchemas Use tools to analyze the model Simplify facts by hiding unnecessary codesModel in layers Model for Predictable Results: Virtual Calculations and FiltersCreate aliases to avoid ambiguous joins Star Schemas Use static filters to reduce the dataMerge query subjects to create as view Model in layers returnedbehavior Create aliases to avoid ambiguous joins Use macros and parameters inModel for Predictable Results: Consolidate Merge query subjects to create as view calculations and filters to dynamicallyMetadata behavior control the data returnedCreate virtual dimensions to resolve Model for Predictable Results: Implement a Time Dimensionfact-to-fact joins Consolidate Metadata Resolve confusion caused by multipleCreate a consolidated modeling layer for Create virtual dimensions to resolve relationships between a time dimensionpresentation purposes fact-to-fact joins and another tableConsolidate snowflake dimensions with Create a consolidated modeling layer for Specify Determinantsmodel query subjects presentation purposes Create the Presentation ViewSimplify facts by hiding unnecessary codes Consolidate snowflake dimensions with Identify conformed vs. non-conformedCalculations and Filters model query subjects dimensionsUse static filters to reduce the data returned Simplify facts by hiding unnecessary Create star schema groupings to provideUse macros and parameters in calculations codes authors with logical groupings of queryand filters to dynamically control the data Calculations and Filters subjectsreturned Use static filters to reduce the data Rapidly create a model using the ModelImplement a Time Dimension returned Design AcceleratorResolve confusion caused by multiple Use macros and parameters in Work with Different Query Subject Typesrelationships between a time dimension and calculations and filters to dynamically Identify the effects on generated SQLanother table control the data returned when modifying query subjects, SQLSpecify Determinants Implement a Time Dimension settings and relationshipsCreate the Presentation View Resolve confusion caused by multiple Set Security in Framework ManagerIdentify conformed vs. non-conformed relationships between a time dimension Restrict access to packagesdimensions and another table Create and apply security filtersCreate star schema groupings to provide Specify Determinants Restrict access to objects in the modelauthors with logical groupings of query Create the Presentation View Create Analysis Objectssubjects Identify conformed vs. non-conformed Define members and member uniqueRapidly create a model using the Model dimensions names

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Design Accelerator Create star schema groupings to provide Identify changes that impact a MUNWork with Different Query Subject Types authors with logical groupings of query Sort members for presentation andIdentify the effects on generated SQL when subjects predictabilitymodifying query subjects, SQL settings and Rapidly create a model using the Model Manage OLAP Data Sourcesrelationships Design Accelerator Publish an OLAP modelSet Security in Framework Manager Work with Different Query Subject Types Publish a model with multiple OLAP dataRestrict access to packages Identify the effects on generated SQL sourcesCreate and apply security filters when modifying query subjects, SQL Publish a model with an OLAP data sourceRestrict access to objects in the model settings and relationships and a relational data sourceCreate Analysis Objects Set Security in Framework Manager Advanced Generated SQL Concepts andDefine members and member unique names Restrict access to packages Complex QueriesIdentify changes that impact a MUN Create and apply security filters Stitch query SQLSort members for presentation and Restrict access to objects in the model Conformed and non-conformedpredictability Create Analysis Objects dimensions in generated SQLManage OLAP Data Sources Define members and member unique Multi-fact/multi-grain stitch query SQLPublish an OLAP model names Variances in Report Studio generated SQLPublish a model with multiple OLAP data Identify changes that impact a MUN Dimensionally modeled relational SQLsources Sort members for presentation and generationPublish a model with an OLAP data source predictability Cross join SQLand a relational data source Manage OLAP Data Sources Various results sets for multi-fact queriesAdvanced Generated SQL Concepts and Publish an OLAP model Use Advanced ParameterizationComplex Queries Publish a model with multiple OLAP data Techniques in Framework MangerStitch query SQL sources Leverage session, model, and customConformed and non-conformed dimensions Publish a model with an OLAP data parametersin generated SQL source and a relational data source Create prompt macrosMulti-fact/multi-grain stitch query SQL Advanced Generated SQL Concepts and Leverage macro functions associated withVariances in Report Studio generated SQL Complex Queries securityDimensionally modeled relational SQL Stitch query SQL Model Maintenance and Extensibilitygeneration Conformed and non-conformed Remap metadata to another sourceCross join SQL dimensions in generated SQL Import and link a second data sourceVarious results sets for multi-fact queries Multi-fact/multi-grain stitch query SQL Run scripts to automate or update a modelUse Advanced Parameterization Techniques Variances in Report Studio generated Create a model reportin Framework Manger SQL Optimize and Tune Framework ManagerLeverage session, model, and custom Dimensionally modeled relational SQL Modelsparameters generation Use Dynamic Query Mode in FrameworkCreate prompt macros Cross join SQL ManagerLeverage macro functions associated with Various results sets for multi-fact queries Work in a Multi-Modeler Environmentsecurity Use Advanced Parameterization Branch a project and merge resultsModel Maintenance and Extensibility Techniques in Framework Manger Manage Framework Manager PackagesRemap metadata to another source Leverage session, model, and custom Control model versioningImport and link a second data source parameters Nest packagesRun scripts to automate or update a model Create prompt macros Appendix A: Employ Additional ModelingCreate a model report Leverage macro functions associated TechniquesOptimize and Tune Framework Manager with security Set the order of operations in a modelModels Model Maintenance and Extensibility calculationUse Dynamic Query Mode in Framework Remap metadata to another source Externalize query subjectsManager Import and link a second data source Prepare IBM Cognos 10 content for use asWork in a Multi-Modeler Environment Run scripts to automate or update a a data source in TransformerBranch a project and merge results model Create query setsManage Framework Manager Packages Create a model report Use external source control throughControl model versioning Optimize and Tune Framework Manager Windows ExplorerNest packages Models Appendix B: Model Multilingual MetadataAppendix A: Employ Additional Modeling Use Dynamic Query Mode in Framework Appendix C: Additional ResourcesTechniques ManagerSet the order of operations in a model Work in a Multi-Modeler Environmentcalculation Branch a project and merge results lineExternalize query subjects Manage Framework Manager Packages Describe IBM Cognos componentsPrepare IBM Cognos 10 content for use as a Control model versioning Describe IBM Cognos architecture at adata source in Transformer Nest packages high levelCreate query sets Appendix A: Employ Additional Modeling Define IBM Cognos groups and rolesUse external source control through Techniques Explain how to extend IBM CognosWindows Explorer Set the order of operations in a model Identify Common Data StructuresAppendix B: Model Multilingual Metadata calculation Examine relationships and cardinalityAppendix C: Additional Resources Externalize query subjects Identify different data traps

Prepare IBM Cognos 10 content for use Examine dimensional data sourcesas a data source in Transformer Gather Requirements

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line Create query sets Define reporting requirementsDiscuss IBM Cognos and Performance Use external source control through Explore data sources to identify dataManagement Windows Explorer access strategiesExamine the characteristics of operational Appendix B: Model Multilingual Metadata Create a Baseline Projectdatabases and databases designed for Appendix C: Additional Resources Define a project and its structurereporting Describe the Framework ManagerExamine key modeling recommendations environmentExamine the IBM Cognos BI and Framework line Create a baseline projectManager workflow processes Describe IBM Cognos components Enhance the model with additionalIdentify facts and dimensions Describe IBM Cognos architecture at a metadataDescribe multi-fact queries and when full high level Prepare Reusable Metadataouter joins are appropriate Define IBM Cognos groups and roles Examine relationships, and data trapsIdentify the advantages of modeling Explain how to extend IBM Cognos Verify relationships and query itemmetadata as a star schema Identify Common Data Structures propertiesCreate virtual facts to simplify writing queries Examine relationships and cardinality Ensure efficient filters by configuringUse calculations to create Identify different data traps prompt propertiescommonly-needed query items for authors Examine dimensional data sources Model for Predictable Results: IdentifyMake time-based queries simple to author Gather Requirements Reporting Issuesby implementing a time dimension Define reporting requirements Describe how IBM Cognos BI usesUse determinants to specify multiple levels Explore data sources to identify data cardinalityof granularity and prevent double-counting access strategies Identify reporting trapsIdentify the dimensions associated with a Create a Baseline Project Use tools to analyze the modelfact table Define a project and its structure Model for Predictable Results: Virtual StarIdentify key differences and Describe the Framework Manager Schemasrecommendations for using data source, environment Model in layersmodel, and stored procedure query subjects Create a baseline project Create aliases to avoid ambiguous joinsExamine the IBM Cognos BI security Enhance the model with additional Merge query subjects to create as viewenvironment metadata behaviorApply dimensional information to relational Prepare Reusable Metadata Model for Predictable Results: ConsolidateMetadata to enable OLAP-style queries Examine relationships, and data traps MetadataConnect to an OLAP data source (cube) in a Verify relationships and query item Create virtual dimensions to resolveFramework Manager project properties fact-to-fact joinsGovernors that affect SQL generation Ensure efficient filters by configuring Create a consolidated modeling layer forIdentify environment and model session prompt properties presentation purposesparameters Model for Predictable Results: Identify Consolidate snowflake dimensions withPerform basic maintenance and Reporting Issues model query subjectsmanagement on a model Describe how IBM Cognos BI uses Simplify facts by hiding unnecessary codesIdentify and implement techniques to cardinality Calculations and Filtersoptimize and tune your Framework Manager Identify reporting traps Use static filters to reduce the datamodels Use tools to analyze the model returnedSegment and link a project Model for Predictable Results: Virtual Use macros and parameters inSpecify package languages and function Star Schemas calculations and filters to dynamicallysets Model in layers control the data returnedLeverage a user defined function Create aliases to avoid ambiguous joins Implement a Time DimensionCustomize metadata for a multilingual Merge query subjects to create as view Resolve confusion caused by multipleaudience behavior relationships between a time dimensionLinks to sites where the customer can find Model for Predictable Results: and another tablemore information about course-related Consolidate Metadata Specify Determinantsmaterial. Create virtual dimensions to resolve Create the Presentation View

fact-to-fact joins Identify conformed vs. non-conformedCreate a consolidated modeling layer for dimensions

line presentation purposes Create star schema groupings to provideDescribe IBM Cognos components Consolidate snowflake dimensions with authors with logical groupings of queryDescribe IBM Cognos architecture at a high model query subjects subjectslevel Simplify facts by hiding unnecessary Rapidly create a model using the ModelDefine IBM Cognos groups and roles codes Design AcceleratorExplain how to extend IBM Cognos Calculations and Filters Work with Different Query Subject TypesIdentify Common Data Structures Use static filters to reduce the data Identify the effects on generated SQLExamine relationships and cardinality returned when modifying query subjects, SQLIdentify different data traps Use macros and parameters in settings and relationshipsExamine dimensional data sources calculations and filters to dynamically Set Security in Framework ManagerGather Requirements control the data returned Restrict access to packagesDefine reporting requirements Implement a Time Dimension Create and apply security filtersExplore data sources to identify data access Resolve confusion caused by multiple Restrict access to objects in the modelstrategies relationships between a time dimension Create Analysis ObjectsCreate a Baseline Project and another table Define members and member unique

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Define a project and its structure Specify Determinants namesDescribe the Framework Manager Create the Presentation View Identify changes that impact a MUNenvironment Identify conformed vs. non-conformed Sort members for presentation andCreate a baseline project dimensions predictabilityEnhance the model with additional metadata Create star schema groupings to provide Manage OLAP Data SourcesPrepare Reusable Metadata authors with logical groupings of query Publish an OLAP modelExamine relationships, and data traps subjects Publish a model with multiple OLAP dataVerify relationships and query item Rapidly create a model using the Model sourcesproperties Design Accelerator Publish a model with an OLAP data sourceEnsure efficient filters by configuring prompt Work with Different Query Subject Types and a relational data sourceproperties Identify the effects on generated SQL Advanced Generated SQL Concepts andModel for Predictable Results: Identify when modifying query subjects, SQL Complex QueriesReporting Issues settings and relationships Stitch query SQLDescribe how IBM Cognos BI uses Set Security in Framework Manager Conformed and non-conformedcardinality Restrict access to packages dimensions in generated SQLIdentify reporting traps Create and apply security filters Multi-fact/multi-grain stitch query SQLUse tools to analyze the model Restrict access to objects in the model Variances in Report Studio generated SQLModel for Predictable Results: Virtual Star Create Analysis Objects Dimensionally modeled relational SQLSchemas Define members and member unique generationModel in layers names Cross join SQLCreate aliases to avoid ambiguous joins Identify changes that impact a MUN Various results sets for multi-fact queriesMerge query subjects to create as view Sort members for presentation and Use Advanced Parameterizationbehavior predictability Techniques in Framework MangerModel for Predictable Results: Consolidate Manage OLAP Data Sources Leverage session, model, and customMetadata Publish an OLAP model parametersCreate virtual dimensions to resolve Publish a model with multiple OLAP data Create prompt macrosfact-to-fact joins sources Leverage macro functions associated withCreate a consolidated modeling layer for Publish a model with an OLAP data securitypresentation purposes source and a relational data source Model Maintenance and ExtensibilityConsolidate snowflake dimensions with Advanced Generated SQL Concepts and Remap metadata to another sourcemodel query subjects Complex Queries Import and link a second data sourceSimplify facts by hiding unnecessary codes Stitch query SQL Run scripts to automate or update a modelCalculations and Filters Conformed and non-conformed Create a model reportUse static filters to reduce the data returned dimensions in generated SQL Optimize and Tune Framework ManagerUse macros and parameters in calculations Multi-fact/multi-grain stitch query SQL Modelsand filters to dynamically control the data Variances in Report Studio generated Use Dynamic Query Mode in Frameworkreturned SQL ManagerImplement a Time Dimension Dimensionally modeled relational SQL Work in a Multi-Modeler EnvironmentResolve confusion caused by multiple generation Branch a project and merge resultsrelationships between a time dimension and Cross join SQL Manage Framework Manager Packagesanother table Various results sets for multi-fact queries Control model versioningSpecify Determinants Use Advanced Parameterization Nest packagesCreate the Presentation View Techniques in Framework Manger Appendix A: Employ Additional ModelingIdentify conformed vs. non-conformed Leverage session, model, and custom Techniquesdimensions parameters Set the order of operations in a modelCreate star schema groupings to provide Create prompt macros calculationauthors with logical groupings of query Leverage macro functions associated Externalize query subjectssubjects with security Prepare IBM Cognos 10 content for use asRapidly create a model using the Model Model Maintenance and Extensibility a data source in TransformerDesign Accelerator Remap metadata to another source Create query setsWork with Different Query Subject Types Import and link a second data source Use external source control throughIdentify the effects on generated SQL when Run scripts to automate or update a Windows Explorermodifying query subjects, SQL settings and model Appendix B: Model Multilingual Metadatarelationships Create a model report Appendix C: Additional ResourcesSet Security in Framework Manager Optimize and Tune Framework ManagerRestrict access to packages ModelsCreate and apply security filters Use Dynamic Query Mode in Framework lineRestrict access to objects in the model Manager Describe IBM Cognos componentsCreate Analysis Objects Work in a Multi-Modeler Environment Describe IBM Cognos architecture at aDefine members and member unique names Branch a project and merge results high levelIdentify changes that impact a MUN Manage Framework Manager Packages Define IBM Cognos groups and rolesSort members for presentation and Control model versioning Explain how to extend IBM Cognospredictability Nest packages Identify Common Data StructuresManage OLAP Data Sources Appendix A: Employ Additional Modeling Examine relationships and cardinalityPublish an OLAP model Techniques Identify different data trapsPublish a model with multiple OLAP data Set the order of operations in a model Examine dimensional data sources

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sources calculation Gather RequirementsPublish a model with an OLAP data source Externalize query subjects Define reporting requirementsand a relational data source Prepare IBM Cognos 10 content for use Explore data sources to identify dataAdvanced Generated SQL Concepts and as a data source in Transformer access strategiesComplex Queries Create query sets Create a Baseline ProjectStitch query SQL Use external source control through Define a project and its structureConformed and non-conformed dimensions Windows Explorer Describe the Framework Managerin generated SQL Appendix B: Model Multilingual Metadata environmentMulti-fact/multi-grain stitch query SQL Appendix C: Additional Resources Create a baseline projectVariances in Report Studio generated SQL Enhance the model with additionalDimensionally modeled relational SQL metadatageneration line Prepare Reusable MetadataCross join SQL Describe IBM Cognos components Examine relationships, and data trapsVarious results sets for multi-fact queries Describe IBM Cognos architecture at a Verify relationships and query itemUse Advanced Parameterization Techniques high level propertiesin Framework Manger Define IBM Cognos groups and roles Ensure efficient filters by configuringLeverage session, model, and custom Explain how to extend IBM Cognos prompt propertiesparameters Identify Common Data Structures Model for Predictable Results: IdentifyCreate prompt macros Examine relationships and cardinality Reporting IssuesLeverage macro functions associated with Identify different data traps Describe how IBM Cognos BI usessecurity Examine dimensional data sources cardinalityModel Maintenance and Extensibility Gather Requirements Identify reporting trapsRemap metadata to another source Define reporting requirements Use tools to analyze the modelImport and link a second data source Explore data sources to identify data Model for Predictable Results: Virtual StarRun scripts to automate or update a model access strategies SchemasCreate a model report Create a Baseline Project Model in layersOptimize and Tune Framework Manager Define a project and its structure Create aliases to avoid ambiguous joinsModels Describe the Framework Manager Merge query subjects to create as viewUse Dynamic Query Mode in Framework environment behaviorManager Create a baseline project Model for Predictable Results: ConsolidateWork in a Multi-Modeler Environment Enhance the model with additional MetadataBranch a project and merge results metadata Create virtual dimensions to resolveManage Framework Manager Packages Prepare Reusable Metadata fact-to-fact joinsControl model versioning Examine relationships, and data traps Create a consolidated modeling layer forNest packages Verify relationships and query item presentation purposesAppendix A: Employ Additional Modeling properties Consolidate snowflake dimensions withTechniques Ensure efficient filters by configuring model query subjectsSet the order of operations in a model prompt properties Simplify facts by hiding unnecessary codescalculation Model for Predictable Results: Identify Calculations and FiltersExternalize query subjects Reporting Issues Use static filters to reduce the dataPrepare IBM Cognos 10 content for use as a Describe how IBM Cognos BI uses returneddata source in Transformer cardinality Use macros and parameters inCreate query sets Identify reporting traps calculations and filters to dynamicallyUse external source control through Use tools to analyze the model control the data returnedWindows Explorer Model for Predictable Results: Virtual Implement a Time DimensionAppendix B: Model Multilingual Metadata Star Schemas Resolve confusion caused by multipleAppendix C: Additional Resources Model in layers relationships between a time dimension

Create aliases to avoid ambiguous joins and another tableMerge query subjects to create as view Specify Determinants

line behavior Create the Presentation ViewDescribe IBM Cognos components Model for Predictable Results: Identify conformed vs. non-conformedDescribe IBM Cognos architecture at a high Consolidate Metadata dimensionslevel Create virtual dimensions to resolve Create star schema groupings to provideDefine IBM Cognos groups and roles fact-to-fact joins authors with logical groupings of queryExplain how to extend IBM Cognos Create a consolidated modeling layer for subjectsIdentify Common Data Structures presentation purposes Rapidly create a model using the ModelExamine relationships and cardinality Consolidate snowflake dimensions with Design AcceleratorIdentify different data traps model query subjects Work with Different Query Subject TypesExamine dimensional data sources Simplify facts by hiding unnecessary Identify the effects on generated SQLGather Requirements codes when modifying query subjects, SQLDefine reporting requirements Calculations and Filters settings and relationshipsExplore data sources to identify data access Use static filters to reduce the data Set Security in Framework Managerstrategies returned Restrict access to packagesCreate a Baseline Project Use macros and parameters in Create and apply security filtersDefine a project and its structure calculations and filters to dynamically Restrict access to objects in the modelDescribe the Framework Manager control the data returned Create Analysis Objects

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environment Implement a Time Dimension Define members and member uniqueCreate a baseline project Resolve confusion caused by multiple namesEnhance the model with additional metadata relationships between a time dimension Identify changes that impact a MUNPrepare Reusable Metadata and another table Sort members for presentation andExamine relationships, and data traps Specify Determinants predictabilityVerify relationships and query item Create the Presentation View Manage OLAP Data Sourcesproperties Identify conformed vs. non-conformed Publish an OLAP modelEnsure efficient filters by configuring prompt dimensions Publish a model with multiple OLAP dataproperties Create star schema groupings to provide sourcesModel for Predictable Results: Identify authors with logical groupings of query Publish a model with an OLAP data sourceReporting Issues subjects and a relational data sourceDescribe how IBM Cognos BI uses Rapidly create a model using the Model Advanced Generated SQL Concepts andcardinality Design Accelerator Complex QueriesIdentify reporting traps Work with Different Query Subject Types Stitch query SQLUse tools to analyze the model Identify the effects on generated SQL Conformed and non-conformedModel for Predictable Results: Virtual Star when modifying query subjects, SQL dimensions in generated SQLSchemas settings and relationships Multi-fact/multi-grain stitch query SQLModel in layers Set Security in Framework Manager Variances in Report Studio generated SQLCreate aliases to avoid ambiguous joins Restrict access to packages Dimensionally modeled relational SQLMerge query subjects to create as view Create and apply security filters generationbehavior Restrict access to objects in the model Cross join SQLModel for Predictable Results: Consolidate Create Analysis Objects Various results sets for multi-fact queriesMetadata Define members and member unique Use Advanced ParameterizationCreate virtual dimensions to resolve names Techniques in Framework Mangerfact-to-fact joins Identify changes that impact a MUN Leverage session, model, and customCreate a consolidated modeling layer for Sort members for presentation and parameterspresentation purposes predictability Create prompt macrosConsolidate snowflake dimensions with Manage OLAP Data Sources Leverage macro functions associated withmodel query subjects Publish an OLAP model securitySimplify facts by hiding unnecessary codes Publish a model with multiple OLAP data Model Maintenance and ExtensibilityCalculations and Filters sources Remap metadata to another sourceUse static filters to reduce the data returned Publish a model with an OLAP data Import and link a second data sourceUse macros and parameters in calculations source and a relational data source Run scripts to automate or update a modeland filters to dynamically control the data Advanced Generated SQL Concepts and Create a model reportreturned Complex Queries Optimize and Tune Framework ManagerImplement a Time Dimension Stitch query SQL ModelsResolve confusion caused by multiple Conformed and non-conformed Use Dynamic Query Mode in Frameworkrelationships between a time dimension and dimensions in generated SQL Manageranother table Multi-fact/multi-grain stitch query SQL Work in a Multi-Modeler EnvironmentSpecify Determinants Variances in Report Studio generated Branch a project and merge resultsCreate the Presentation View SQL Manage Framework Manager PackagesIdentify conformed vs. non-conformed Dimensionally modeled relational SQL Control model versioningdimensions generation Nest packagesCreate star schema groupings to provide Cross join SQL Appendix A: Employ Additional Modelingauthors with logical groupings of query Various results sets for multi-fact queries Techniquessubjects Use Advanced Parameterization Set the order of operations in a modelRapidly create a model using the Model Techniques in Framework Manger calculationDesign Accelerator Leverage session, model, and custom Externalize query subjectsWork with Different Query Subject Types parameters Prepare IBM Cognos 10 content for use asIdentify the effects on generated SQL when Create prompt macros a data source in Transformermodifying query subjects, SQL settings and Leverage macro functions associated Create query setsrelationships with security Use external source control throughSet Security in Framework Manager Model Maintenance and Extensibility Windows ExplorerRestrict access to packages Remap metadata to another source Appendix B: Model Multilingual MetadataCreate and apply security filters Import and link a second data source Appendix C: Additional ResourcesRestrict access to objects in the model Run scripts to automate or update aCreate Analysis Objects modelDefine members and member unique names Create a model report lineIdentify changes that impact a MUN Optimize and Tune Framework Manager Describe IBM Cognos componentsSort members for presentation and Models Describe IBM Cognos architecture at apredictability Use Dynamic Query Mode in Framework high levelManage OLAP Data Sources Manager Define IBM Cognos groups and rolesPublish an OLAP model Work in a Multi-Modeler Environment Explain how to extend IBM CognosPublish a model with multiple OLAP data Branch a project and merge results Identify Common Data Structuressources Manage Framework Manager Packages Examine relationships and cardinalityPublish a model with an OLAP data source Control model versioning Identify different data traps

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and a relational data source Nest packages Examine dimensional data sourcesAdvanced Generated SQL Concepts and Appendix A: Employ Additional Modeling Gather RequirementsComplex Queries Techniques Define reporting requirementsStitch query SQL Set the order of operations in a model Explore data sources to identify dataConformed and non-conformed dimensions calculation access strategiesin generated SQL Externalize query subjects Create a Baseline ProjectMulti-fact/multi-grain stitch query SQL Prepare IBM Cognos 10 content for use Define a project and its structureVariances in Report Studio generated SQL as a data source in Transformer Describe the Framework ManagerDimensionally modeled relational SQL Create query sets environmentgeneration Use external source control through Create a baseline projectCross join SQL Windows Explorer Enhance the model with additionalVarious results sets for multi-fact queries Appendix B: Model Multilingual Metadata metadataUse Advanced Parameterization Techniques Appendix C: Additional Resources Prepare Reusable Metadatain Framework Manger Examine relationships, and data trapsLeverage session, model, and custom Verify relationships and query itemparameters line propertiesCreate prompt macros Discuss IBM Cognos and Performance Ensure efficient filters by configuringLeverage macro functions associated with Management prompt propertiessecurity Examine the characteristics of Model for Predictable Results: IdentifyModel Maintenance and Extensibility operational databases and databases Reporting IssuesRemap metadata to another source designed for reporting Describe how IBM Cognos BI usesImport and link a second data source Examine key modeling recommendations cardinalityRun scripts to automate or update a model Examine the IBM Cognos BI and Identify reporting trapsCreate a model report Framework Manager workflow processes Use tools to analyze the modelOptimize and Tune Framework Manager Identify facts and dimensions Model for Predictable Results: Virtual StarModels Describe multi-fact queries and when full SchemasUse Dynamic Query Mode in Framework outer joins are appropriate Model in layersManager Identify the advantages of modeling Create aliases to avoid ambiguous joinsWork in a Multi-Modeler Environment metadata as a star schema Merge query subjects to create as viewBranch a project and merge results Create virtual facts to simplify writing behaviorManage Framework Manager Packages queries Model for Predictable Results: ConsolidateControl model versioning Use calculations to create MetadataNest packages commonly-needed query items for Create virtual dimensions to resolveAppendix A: Employ Additional Modeling authors fact-to-fact joinsTechniques Make time-based queries simple to Create a consolidated modeling layer forSet the order of operations in a model author by implementing a time dimension presentation purposescalculation Use determinants to specify multiple Consolidate snowflake dimensions withExternalize query subjects levels of granularity and prevent model query subjectsPrepare IBM Cognos 10 content for use as a double-counting Simplify facts by hiding unnecessary codesdata source in Transformer Identify the dimensions associated with a Calculations and FiltersCreate query sets fact table Use static filters to reduce the dataUse external source control through Identify key differences and returnedWindows Explorer recommendations for using data source, Use macros and parameters inAppendix B: Model Multilingual Metadata model, and stored procedure query calculations and filters to dynamicallyAppendix C: Additional Resources subjects control the data returned

Examine the IBM Cognos BI security Implement a Time Dimensionenvironment Resolve confusion caused by multiple

line Apply dimensional information to relationships between a time dimensionDescribe IBM Cognos components relational Metadata to enable OLAP-style and another tableDescribe IBM Cognos architecture at a high queries Specify Determinantslevel Connect to an OLAP data source (cube) Create the Presentation ViewDefine IBM Cognos groups and roles in a Framework Manager project Identify conformed vs. non-conformedExplain how to extend IBM Cognos Governors that affect SQL generation dimensionsIdentify Common Data Structures Identify environment and model session Create star schema groupings to provideExamine relationships and cardinality parameters authors with logical groupings of queryIdentify different data traps Perform basic maintenance and subjectsExamine dimensional data sources management on a model Rapidly create a model using the ModelGather Requirements Identify and implement techniques to Design AcceleratorDefine reporting requirements optimize and tune your Framework Work with Different Query Subject TypesExplore data sources to identify data access Manager models Identify the effects on generated SQLstrategies Segment and link a project when modifying query subjects, SQLCreate a Baseline Project Specify package languages and function settings and relationshipsDefine a project and its structure sets Set Security in Framework ManagerDescribe the Framework Manager Leverage a user defined function Restrict access to packagesenvironment Customize metadata for a multilingual Create and apply security filtersCreate a baseline project audience Restrict access to objects in the model

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Enhance the model with additional metadata Links to sites where the customer can Create Analysis ObjectsPrepare Reusable Metadata find more information about Define members and member uniqueExamine relationships, and data traps course-related material. namesVerify relationships and query item Identify changes that impact a MUNproperties Sort members for presentation andEnsure efficient filters by configuring prompt line predictabilityproperties Describe IBM Cognos components Manage OLAP Data SourcesModel for Predictable Results: Identify Describe IBM Cognos architecture at a Publish an OLAP modelReporting Issues high level Publish a model with multiple OLAP dataDescribe how IBM Cognos BI uses Define IBM Cognos groups and roles sourcescardinality Explain how to extend IBM Cognos Publish a model with an OLAP data sourceIdentify reporting traps Identify Common Data Structures and a relational data sourceUse tools to analyze the model Examine relationships and cardinality Advanced Generated SQL Concepts andModel for Predictable Results: Virtual Star Identify different data traps Complex QueriesSchemas Examine dimensional data sources Stitch query SQLModel in layers Gather Requirements Conformed and non-conformedCreate aliases to avoid ambiguous joins Define reporting requirements dimensions in generated SQLMerge query subjects to create as view Explore data sources to identify data Multi-fact/multi-grain stitch query SQLbehavior access strategies Variances in Report Studio generated SQLModel for Predictable Results: Consolidate Create a Baseline Project Dimensionally modeled relational SQLMetadata Define a project and its structure generationCreate virtual dimensions to resolve Describe the Framework Manager Cross join SQLfact-to-fact joins environment Various results sets for multi-fact queriesCreate a consolidated modeling layer for Create a baseline project Use Advanced Parameterizationpresentation purposes Enhance the model with additional Techniques in Framework MangerConsolidate snowflake dimensions with metadata Leverage session, model, and custommodel query subjects Prepare Reusable Metadata parametersSimplify facts by hiding unnecessary codes Examine relationships, and data traps Create prompt macrosCalculations and Filters Verify relationships and query item Leverage macro functions associated withUse static filters to reduce the data returned properties securityUse macros and parameters in calculations Ensure efficient filters by configuring Model Maintenance and Extensibilityand filters to dynamically control the data prompt properties Remap metadata to another sourcereturned Model for Predictable Results: Identify Import and link a second data sourceImplement a Time Dimension Reporting Issues Run scripts to automate or update a modelResolve confusion caused by multiple Describe how IBM Cognos BI uses Create a model reportrelationships between a time dimension and cardinality Optimize and Tune Framework Manageranother table Identify reporting traps ModelsSpecify Determinants Use tools to analyze the model Use Dynamic Query Mode in FrameworkCreate the Presentation View Model for Predictable Results: Virtual ManagerIdentify conformed vs. non-conformed Star Schemas Work in a Multi-Modeler Environmentdimensions Model in layers Branch a project and merge resultsCreate star schema groupings to provide Create aliases to avoid ambiguous joins Manage Framework Manager Packagesauthors with logical groupings of query Merge query subjects to create as view Control model versioningsubjects behavior Nest packagesRapidly create a model using the Model Model for Predictable Results: Appendix A: Employ Additional ModelingDesign Accelerator Consolidate Metadata TechniquesWork with Different Query Subject Types Create virtual dimensions to resolve Set the order of operations in a modelIdentify the effects on generated SQL when fact-to-fact joins calculationmodifying query subjects, SQL settings and Create a consolidated modeling layer for Externalize query subjectsrelationships presentation purposes Prepare IBM Cognos 10 content for use asSet Security in Framework Manager Consolidate snowflake dimensions with a data source in TransformerRestrict access to packages model query subjects Create query setsCreate and apply security filters Simplify facts by hiding unnecessary Use external source control throughRestrict access to objects in the model codes Windows ExplorerCreate Analysis Objects Calculations and Filters Appendix B: Model Multilingual MetadataDefine members and member unique names Use static filters to reduce the data Appendix C: Additional ResourcesIdentify changes that impact a MUN returnedSort members for presentation and Use macros and parameters inpredictability calculations and filters to dynamically lineManage OLAP Data Sources control the data returned Discuss IBM Cognos and PerformancePublish an OLAP model Implement a Time Dimension ManagementPublish a model with multiple OLAP data Resolve confusion caused by multiple Examine the characteristics of operationalsources relationships between a time dimension databases and databases designed forPublish a model with an OLAP data source and another table reportingand a relational data source Specify Determinants Examine key modeling recommendationsAdvanced Generated SQL Concepts and Create the Presentation View Examine the IBM Cognos BI and

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Complex Queries Identify conformed vs. non-conformed Framework Manager workflow processesStitch query SQL dimensions Identify facts and dimensionsConformed and non-conformed dimensions Create star schema groupings to provide Describe multi-fact queries and when fullin generated SQL authors with logical groupings of query outer joins are appropriateMulti-fact/multi-grain stitch query SQL subjects Identify the advantages of modelingVariances in Report Studio generated SQL Rapidly create a model using the Model metadata as a star schemaDimensionally modeled relational SQL Design Accelerator Create virtual facts to simplify writinggeneration Work with Different Query Subject Types queriesCross join SQL Identify the effects on generated SQL Use calculations to createVarious results sets for multi-fact queries when modifying query subjects, SQL commonly-needed query items for authorsUse Advanced Parameterization Techniques settings and relationships Make time-based queries simple to authorin Framework Manger Set Security in Framework Manager by implementing a time dimensionLeverage session, model, and custom Restrict access to packages Use determinants to specify multiple levelsparameters Create and apply security filters of granularity and prevent double-countingCreate prompt macros Restrict access to objects in the model Identify the dimensions associated with aLeverage macro functions associated with Create Analysis Objects fact tablesecurity Define members and member unique Identify key differences andModel Maintenance and Extensibility names recommendations for using data source,Remap metadata to another source Identify changes that impact a MUN model, and stored procedure queryImport and link a second data source Sort members for presentation and subjectsRun scripts to automate or update a model predictability Examine the IBM Cognos BI securityCreate a model report Manage OLAP Data Sources environmentOptimize and Tune Framework Manager Publish an OLAP model Apply dimensional information to relationalModels Publish a model with multiple OLAP data Metadata to enable OLAP-style queriesUse Dynamic Query Mode in Framework sources Connect to an OLAP data source (cube) inManager Publish a model with an OLAP data a Framework Manager projectWork in a Multi-Modeler Environment source and a relational data source Governors that affect SQL generationBranch a project and merge results Advanced Generated SQL Concepts and Identify environment and model sessionManage Framework Manager Packages Complex Queries parametersControl model versioning Stitch query SQL Perform basic maintenance andNest packages Conformed and non-conformed management on a modelAppendix A: Employ Additional Modeling dimensions in generated SQL Identify and implement techniques toTechniques Multi-fact/multi-grain stitch query SQL optimize and tune your FrameworkSet the order of operations in a model Variances in Report Studio generated Manager modelscalculation SQL Segment and link a projectExternalize query subjects Dimensionally modeled relational SQL Specify package languages and functionPrepare IBM Cognos 10 content for use as a generation setsdata source in Transformer Cross join SQL Leverage a user defined functionCreate query sets Various results sets for multi-fact queries Customize metadata for a multilingualUse external source control through Use Advanced Parameterization audienceWindows Explorer Techniques in Framework Manger Links to sites where the customer can findAppendix B: Model Multilingual Metadata Leverage session, model, and custom more information about course-relatedAppendix C: Additional Resources parameters material.

Create prompt macrosLeverage macro functions associated

line with security lineDescribe IBM Cognos components Model Maintenance and Extensibility Describe IBM Cognos componentsDescribe IBM Cognos architecture at a high Remap metadata to another source Describe IBM Cognos architecture at alevel Import and link a second data source high levelDefine IBM Cognos groups and roles Run scripts to automate or update a Define IBM Cognos groups and rolesExplain how to extend IBM Cognos model Explain how to extend IBM CognosIdentify Common Data Structures Create a model report Identify Common Data StructuresExamine relationships and cardinality Optimize and Tune Framework Manager Examine relationships and cardinalityIdentify different data traps Models Identify different data trapsExamine dimensional data sources Use Dynamic Query Mode in Framework Examine dimensional data sourcesGather Requirements Manager Gather RequirementsDefine reporting requirements Work in a Multi-Modeler Environment Define reporting requirementsExplore data sources to identify data access Branch a project and merge results Explore data sources to identify datastrategies Manage Framework Manager Packages access strategiesCreate a Baseline Project Control model versioning Create a Baseline ProjectDefine a project and its structure Nest packages Define a project and its structureDescribe the Framework Manager Appendix A: Employ Additional Modeling Describe the Framework Managerenvironment Techniques environmentCreate a baseline project Set the order of operations in a model Create a baseline projectEnhance the model with additional metadata calculation Enhance the model with additionalPrepare Reusable Metadata Externalize query subjects metadata

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Examine relationships, and data traps Prepare IBM Cognos 10 content for use Prepare Reusable MetadataVerify relationships and query item as a data source in Transformer Examine relationships, and data trapsproperties Create query sets Verify relationships and query itemEnsure efficient filters by configuring prompt Use external source control through propertiesproperties Windows Explorer Ensure efficient filters by configuringModel for Predictable Results: Identify Appendix B: Model Multilingual Metadata prompt propertiesReporting Issues Appendix C: Additional Resources Model for Predictable Results: IdentifyDescribe how IBM Cognos BI uses Reporting Issuescardinality Describe how IBM Cognos BI usesIdentify reporting traps line cardinalityUse tools to analyze the model Describe IBM Cognos components Identify reporting trapsModel for Predictable Results: Virtual Star Describe IBM Cognos architecture at a Use tools to analyze the modelSchemas high level Model for Predictable Results: Virtual StarModel in layers Define IBM Cognos groups and roles SchemasCreate aliases to avoid ambiguous joins Explain how to extend IBM Cognos Model in layersMerge query subjects to create as view Identify Common Data Structures Create aliases to avoid ambiguous joinsbehavior Examine relationships and cardinality Merge query subjects to create as viewModel for Predictable Results: Consolidate Identify different data traps behaviorMetadata Examine dimensional data sources Model for Predictable Results: ConsolidateCreate virtual dimensions to resolve Gather Requirements Metadatafact-to-fact joins Define reporting requirements Create virtual dimensions to resolveCreate a consolidated modeling layer for Explore data sources to identify data fact-to-fact joinspresentation purposes access strategies Create a consolidated modeling layer forConsolidate snowflake dimensions with Create a Baseline Project presentation purposesmodel query subjects Define a project and its structure Consolidate snowflake dimensions withSimplify facts by hiding unnecessary codes Describe the Framework Manager model query subjectsCalculations and Filters environment Simplify facts by hiding unnecessary codesUse static filters to reduce the data returned Create a baseline project Calculations and FiltersUse macros and parameters in calculations Enhance the model with additional Use static filters to reduce the dataand filters to dynamically control the data metadata returnedreturned Prepare Reusable Metadata Use macros and parameters inImplement a Time Dimension Examine relationships, and data traps calculations and filters to dynamicallyResolve confusion caused by multiple Verify relationships and query item control the data returnedrelationships between a time dimension and properties Implement a Time Dimensionanother table Ensure efficient filters by configuring Resolve confusion caused by multipleSpecify Determinants prompt properties relationships between a time dimensionCreate the Presentation View Model for Predictable Results: Identify and another tableIdentify conformed vs. non-conformed Reporting Issues Specify Determinantsdimensions Describe how IBM Cognos BI uses Create the Presentation ViewCreate star schema groupings to provide cardinality Identify conformed vs. non-conformedauthors with logical groupings of query Identify reporting traps dimensionssubjects Use tools to analyze the model Create star schema groupings to provideRapidly create a model using the Model Model for Predictable Results: Virtual authors with logical groupings of queryDesign Accelerator Star Schemas subjectsWork with Different Query Subject Types Model in layers Rapidly create a model using the ModelIdentify the effects on generated SQL when Create aliases to avoid ambiguous joins Design Acceleratormodifying query subjects, SQL settings and Merge query subjects to create as view Work with Different Query Subject Typesrelationships behavior Identify the effects on generated SQLSet Security in Framework Manager Model for Predictable Results: when modifying query subjects, SQLRestrict access to packages Consolidate Metadata settings and relationshipsCreate and apply security filters Create virtual dimensions to resolve Set Security in Framework ManagerRestrict access to objects in the model fact-to-fact joins Restrict access to packagesCreate Analysis Objects Create a consolidated modeling layer for Create and apply security filtersDefine members and member unique names presentation purposes Restrict access to objects in the modelIdentify changes that impact a MUN Consolidate snowflake dimensions with Create Analysis ObjectsSort members for presentation and model query subjects Define members and member uniquepredictability Simplify facts by hiding unnecessary namesManage OLAP Data Sources codes Identify changes that impact a MUNPublish an OLAP model Calculations and Filters Sort members for presentation andPublish a model with multiple OLAP data Use static filters to reduce the data predictabilitysources returned Manage OLAP Data SourcesPublish a model with an OLAP data source Use macros and parameters in Publish an OLAP modeland a relational data source calculations and filters to dynamically Publish a model with multiple OLAP dataAdvanced Generated SQL Concepts and control the data returned sourcesComplex Queries Implement a Time Dimension Publish a model with an OLAP data sourceStitch query SQL Resolve confusion caused by multiple and a relational data source

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Conformed and non-conformed dimensions relationships between a time dimension Advanced Generated SQL Concepts andin generated SQL and another table Complex QueriesMulti-fact/multi-grain stitch query SQL Specify Determinants Stitch query SQLVariances in Report Studio generated SQL Create the Presentation View Conformed and non-conformedDimensionally modeled relational SQL Identify conformed vs. non-conformed dimensions in generated SQLgeneration dimensions Multi-fact/multi-grain stitch query SQLCross join SQL Create star schema groupings to provide Variances in Report Studio generated SQLVarious results sets for multi-fact queries authors with logical groupings of query Dimensionally modeled relational SQLUse Advanced Parameterization Techniques subjects generationin Framework Manger Rapidly create a model using the Model Cross join SQLLeverage session, model, and custom Design Accelerator Various results sets for multi-fact queriesparameters Work with Different Query Subject Types Use Advanced ParameterizationCreate prompt macros Identify the effects on generated SQL Techniques in Framework MangerLeverage macro functions associated with when modifying query subjects, SQL Leverage session, model, and customsecurity settings and relationships parametersModel Maintenance and Extensibility Set Security in Framework Manager Create prompt macrosRemap metadata to another source Restrict access to packages Leverage macro functions associated withImport and link a second data source Create and apply security filters securityRun scripts to automate or update a model Restrict access to objects in the model Model Maintenance and ExtensibilityCreate a model report Create Analysis Objects Remap metadata to another sourceOptimize and Tune Framework Manager Define members and member unique Import and link a second data sourceModels names Run scripts to automate or update a modelUse Dynamic Query Mode in Framework Identify changes that impact a MUN Create a model reportManager Sort members for presentation and Optimize and Tune Framework ManagerWork in a Multi-Modeler Environment predictability ModelsBranch a project and merge results Manage OLAP Data Sources Use Dynamic Query Mode in FrameworkManage Framework Manager Packages Publish an OLAP model ManagerControl model versioning Publish a model with multiple OLAP data Work in a Multi-Modeler EnvironmentNest packages sources Branch a project and merge resultsAppendix A: Employ Additional Modeling Publish a model with an OLAP data Manage Framework Manager PackagesTechniques source and a relational data source Control model versioningSet the order of operations in a model Advanced Generated SQL Concepts and Nest packagescalculation Complex Queries Appendix A: Employ Additional ModelingExternalize query subjects Stitch query SQL TechniquesPrepare IBM Cognos 10 content for use as a Conformed and non-conformed Set the order of operations in a modeldata source in Transformer dimensions in generated SQL calculationCreate query sets Multi-fact/multi-grain stitch query SQL Externalize query subjectsUse external source control through Variances in Report Studio generated Prepare IBM Cognos 10 content for use asWindows Explorer SQL a data source in TransformerAppendix B: Model Multilingual Metadata Dimensionally modeled relational SQL Create query setsAppendix C: Additional Resources generation Use external source control through

Cross join SQL Windows ExplorerVarious results sets for multi-fact queries Appendix B: Model Multilingual Metadata

line Use Advanced Parameterization Appendix C: Additional ResourcesDescribe IBM Cognos components Techniques in Framework MangerDescribe IBM Cognos architecture at a high Leverage session, model, and customlevel parameters lineDefine IBM Cognos groups and roles Create prompt macros Describe IBM Cognos componentsExplain how to extend IBM Cognos Leverage macro functions associated Describe IBM Cognos architecture at aIdentify Common Data Structures with security high levelExamine relationships and cardinality Model Maintenance and Extensibility Define IBM Cognos groups and rolesIdentify different data traps Remap metadata to another source Explain how to extend IBM CognosExamine dimensional data sources Import and link a second data source Identify Common Data StructuresGather Requirements Run scripts to automate or update a Examine relationships and cardinalityDefine reporting requirements model Identify different data trapsExplore data sources to identify data access Create a model report Examine dimensional data sourcesstrategies Optimize and Tune Framework Manager Gather RequirementsCreate a Baseline Project Models Define reporting requirementsDefine a project and its structure Use Dynamic Query Mode in Framework Explore data sources to identify dataDescribe the Framework Manager Manager access strategiesenvironment Work in a Multi-Modeler Environment Create a Baseline ProjectCreate a baseline project Branch a project and merge results Define a project and its structureEnhance the model with additional metadata Manage Framework Manager Packages Describe the Framework ManagerPrepare Reusable Metadata Control model versioning environmentExamine relationships, and data traps Nest packages Create a baseline projectVerify relationships and query item Appendix A: Employ Additional Modeling Enhance the model with additional

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properties Techniques metadataEnsure efficient filters by configuring prompt Set the order of operations in a model Prepare Reusable Metadataproperties calculation Examine relationships, and data trapsModel for Predictable Results: Identify Externalize query subjects Verify relationships and query itemReporting Issues Prepare IBM Cognos 10 content for use propertiesDescribe how IBM Cognos BI uses as a data source in Transformer Ensure efficient filters by configuringcardinality Create query sets prompt propertiesIdentify reporting traps Use external source control through Model for Predictable Results: IdentifyUse tools to analyze the model Windows Explorer Reporting IssuesModel for Predictable Results: Virtual Star Appendix B: Model Multilingual Metadata Describe how IBM Cognos BI usesSchemas Appendix C: Additional Resources cardinalityModel in layers Identify reporting trapsCreate aliases to avoid ambiguous joins Use tools to analyze the modelMerge query subjects to create as view line Model for Predictable Results: Virtual Starbehavior Describe IBM Cognos components SchemasModel for Predictable Results: Consolidate Describe IBM Cognos architecture at a Model in layersMetadata high level Create aliases to avoid ambiguous joinsCreate virtual dimensions to resolve Define IBM Cognos groups and roles Merge query subjects to create as viewfact-to-fact joins Explain how to extend IBM Cognos behaviorCreate a consolidated modeling layer for Identify Common Data Structures Model for Predictable Results: Consolidatepresentation purposes Examine relationships and cardinality MetadataConsolidate snowflake dimensions with Identify different data traps Create virtual dimensions to resolvemodel query subjects Examine dimensional data sources fact-to-fact joinsSimplify facts by hiding unnecessary codes Gather Requirements Create a consolidated modeling layer forCalculations and Filters Define reporting requirements presentation purposesUse static filters to reduce the data returned Explore data sources to identify data Consolidate snowflake dimensions withUse macros and parameters in calculations access strategies model query subjectsand filters to dynamically control the data Create a Baseline Project Simplify facts by hiding unnecessary codesreturned Define a project and its structure Calculations and FiltersImplement a Time Dimension Describe the Framework Manager Use static filters to reduce the dataResolve confusion caused by multiple environment returnedrelationships between a time dimension and Create a baseline project Use macros and parameters inanother table Enhance the model with additional calculations and filters to dynamicallySpecify Determinants metadata control the data returnedCreate the Presentation View Prepare Reusable Metadata Implement a Time DimensionIdentify conformed vs. non-conformed Examine relationships, and data traps Resolve confusion caused by multipledimensions Verify relationships and query item relationships between a time dimensionCreate star schema groupings to provide properties and another tableauthors with logical groupings of query Ensure efficient filters by configuring Specify Determinantssubjects prompt properties Create the Presentation ViewRapidly create a model using the Model Model for Predictable Results: Identify Identify conformed vs. non-conformedDesign Accelerator Reporting Issues dimensionsWork with Different Query Subject Types Describe how IBM Cognos BI uses Create star schema groupings to provideIdentify the effects on generated SQL when cardinality authors with logical groupings of querymodifying query subjects, SQL settings and Identify reporting traps subjectsrelationships Use tools to analyze the model Rapidly create a model using the ModelSet Security in Framework Manager Model for Predictable Results: Virtual Design AcceleratorRestrict access to packages Star Schemas Work with Different Query Subject TypesCreate and apply security filters Model in layers Identify the effects on generated SQLRestrict access to objects in the model Create aliases to avoid ambiguous joins when modifying query subjects, SQLCreate Analysis Objects Merge query subjects to create as view settings and relationshipsDefine members and member unique names behavior Set Security in Framework ManagerIdentify changes that impact a MUN Model for Predictable Results: Restrict access to packagesSort members for presentation and Consolidate Metadata Create and apply security filterspredictability Create virtual dimensions to resolve Restrict access to objects in the modelManage OLAP Data Sources fact-to-fact joins Create Analysis ObjectsPublish an OLAP model Create a consolidated modeling layer for Define members and member uniquePublish a model with multiple OLAP data presentation purposes namessources Consolidate snowflake dimensions with Identify changes that impact a MUNPublish a model with an OLAP data source model query subjects Sort members for presentation andand a relational data source Simplify facts by hiding unnecessary predictabilityAdvanced Generated SQL Concepts and codes Manage OLAP Data SourcesComplex Queries Calculations and Filters Publish an OLAP modelStitch query SQL Use static filters to reduce the data Publish a model with multiple OLAP dataConformed and non-conformed dimensions returned sourcesin generated SQL Use macros and parameters in Publish a model with an OLAP data source

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Multi-fact/multi-grain stitch query SQL calculations and filters to dynamically and a relational data sourceVariances in Report Studio generated SQL control the data returned Advanced Generated SQL Concepts andDimensionally modeled relational SQL Implement a Time Dimension Complex Queriesgeneration Resolve confusion caused by multiple Stitch query SQLCross join SQL relationships between a time dimension Conformed and non-conformedVarious results sets for multi-fact queries and another table dimensions in generated SQLUse Advanced Parameterization Techniques Specify Determinants Multi-fact/multi-grain stitch query SQLin Framework Manger Create the Presentation View Variances in Report Studio generated SQLLeverage session, model, and custom Identify conformed vs. non-conformed Dimensionally modeled relational SQLparameters dimensions generationCreate prompt macros Create star schema groupings to provide Cross join SQLLeverage macro functions associated with authors with logical groupings of query Various results sets for multi-fact queriessecurity subjects Use Advanced ParameterizationModel Maintenance and Extensibility Rapidly create a model using the Model Techniques in Framework MangerRemap metadata to another source Design Accelerator Leverage session, model, and customImport and link a second data source Work with Different Query Subject Types parametersRun scripts to automate or update a model Identify the effects on generated SQL Create prompt macrosCreate a model report when modifying query subjects, SQL Leverage macro functions associated withOptimize and Tune Framework Manager settings and relationships securityModels Set Security in Framework Manager Model Maintenance and ExtensibilityUse Dynamic Query Mode in Framework Restrict access to packages Remap metadata to another sourceManager Create and apply security filters Import and link a second data sourceWork in a Multi-Modeler Environment Restrict access to objects in the model Run scripts to automate or update a modelBranch a project and merge results Create Analysis Objects Create a model reportManage Framework Manager Packages Define members and member unique Optimize and Tune Framework ManagerControl model versioning names ModelsNest packages Identify changes that impact a MUN Use Dynamic Query Mode in FrameworkAppendix A: Employ Additional Modeling Sort members for presentation and ManagerTechniques predictability Work in a Multi-Modeler EnvironmentSet the order of operations in a model Manage OLAP Data Sources Branch a project and merge resultscalculation Publish an OLAP model Manage Framework Manager PackagesExternalize query subjects Publish a model with multiple OLAP data Control model versioningPrepare IBM Cognos 10 content for use as a sources Nest packagesdata source in Transformer Publish a model with an OLAP data Appendix A: Employ Additional ModelingCreate query sets source and a relational data source TechniquesUse external source control through Advanced Generated SQL Concepts and Set the order of operations in a modelWindows Explorer Complex Queries calculationAppendix B: Model Multilingual Metadata Stitch query SQL Externalize query subjectsAppendix C: Additional Resources Conformed and non-conformed Prepare IBM Cognos 10 content for use as

dimensions in generated SQL a data source in TransformerMulti-fact/multi-grain stitch query SQL Create query sets

line Variances in Report Studio generated Use external source control throughDiscuss IBM Cognos and Performance SQL Windows ExplorerManagement Dimensionally modeled relational SQL Appendix B: Model Multilingual MetadataExamine the characteristics of operational generation Appendix C: Additional Resourcesdatabases and databases designed for Cross join SQLreporting Various results sets for multi-fact queriesExamine key modeling recommendations Use Advanced Parameterization lineExamine the IBM Cognos BI and Framework Techniques in Framework Manger Discuss IBM Cognos and PerformanceManager workflow processes Leverage session, model, and custom ManagementIdentify facts and dimensions parameters Examine the characteristics of operationalDescribe multi-fact queries and when full Create prompt macros databases and databases designed forouter joins are appropriate Leverage macro functions associated reportingIdentify the advantages of modeling with security Examine key modeling recommendationsmetadata as a star schema Model Maintenance and Extensibility Examine the IBM Cognos BI andCreate virtual facts to simplify writing queries Remap metadata to another source Framework Manager workflow processesUse calculations to create Import and link a second data source Identify facts and dimensionscommonly-needed query items for authors Run scripts to automate or update a Describe multi-fact queries and when fullMake time-based queries simple to author model outer joins are appropriateby implementing a time dimension Create a model report Identify the advantages of modelingUse determinants to specify multiple levels Optimize and Tune Framework Manager metadata as a star schemaof granularity and prevent double-counting Models Create virtual facts to simplify writingIdentify the dimensions associated with a Use Dynamic Query Mode in Framework queriesfact table Manager Use calculations to createIdentify key differences and Work in a Multi-Modeler Environment commonly-needed query items for authorsrecommendations for using data source, Branch a project and merge results Make time-based queries simple to author

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model, and stored procedure query subjects Manage Framework Manager Packages by implementing a time dimensionExamine the IBM Cognos BI security Control model versioning Use determinants to specify multiple levelsenvironment Nest packages of granularity and prevent double-countingApply dimensional information to relational Appendix A: Employ Additional Modeling Identify the dimensions associated with aMetadata to enable OLAP-style queries Techniques fact tableConnect to an OLAP data source (cube) in a Set the order of operations in a model Identify key differences andFramework Manager project calculation recommendations for using data source,Governors that affect SQL generation Externalize query subjects model, and stored procedure queryIdentify environment and model session Prepare IBM Cognos 10 content for use subjectsparameters as a data source in Transformer Examine the IBM Cognos BI securityPerform basic maintenance and Create query sets environmentmanagement on a model Use external source control through Apply dimensional information to relationalIdentify and implement techniques to Windows Explorer Metadata to enable OLAP-style queriesoptimize and tune your Framework Manager Appendix B: Model Multilingual Metadata Connect to an OLAP data source (cube) inmodels Appendix C: Additional Resources a Framework Manager projectSegment and link a project Governors that affect SQL generationSpecify package languages and function Identify environment and model sessionsets line parametersLeverage a user defined function Discuss IBM Cognos and Performance Perform basic maintenance andCustomize metadata for a multilingual Management management on a modelaudience Examine the characteristics of Identify and implement techniques toLinks to sites where the customer can find operational databases and databases optimize and tune your Frameworkmore information about course-related designed for reporting Manager modelsmaterial. Examine key modeling recommendations Segment and link a project

Examine the IBM Cognos BI and Specify package languages and functionFramework Manager workflow processes sets

line Identify facts and dimensions Leverage a user defined functionDescribe IBM Cognos components Describe multi-fact queries and when full Customize metadata for a multilingualDescribe IBM Cognos architecture at a high outer joins are appropriate audiencelevel Identify the advantages of modeling Links to sites where the customer can findDefine IBM Cognos groups and roles metadata as a star schema more information about course-relatedExplain how to extend IBM Cognos Create virtual facts to simplify writing material.Identify Common Data Structures queriesExamine relationships and cardinality Use calculations to createIdentify different data traps commonly-needed query items for lineExamine dimensional data sources authors Describe IBM Cognos componentsGather Requirements Make time-based queries simple to Describe IBM Cognos architecture at aDefine reporting requirements author by implementing a time dimension high levelExplore data sources to identify data access Use determinants to specify multiple Define IBM Cognos groups and rolesstrategies levels of granularity and prevent Explain how to extend IBM CognosCreate a Baseline Project double-counting Identify Common Data StructuresDefine a project and its structure Identify the dimensions associated with a Examine relationships and cardinalityDescribe the Framework Manager fact table Identify different data trapsenvironment Identify key differences and Examine dimensional data sourcesCreate a baseline project recommendations for using data source, Gather RequirementsEnhance the model with additional metadata model, and stored procedure query Define reporting requirementsPrepare Reusable Metadata subjects Explore data sources to identify dataExamine relationships, and data traps Examine the IBM Cognos BI security access strategiesVerify relationships and query item environment Create a Baseline Projectproperties Apply dimensional information to Define a project and its structureEnsure efficient filters by configuring prompt relational Metadata to enable OLAP-style Describe the Framework Managerproperties queries environmentModel for Predictable Results: Identify Connect to an OLAP data source (cube) Create a baseline projectReporting Issues in a Framework Manager project Enhance the model with additionalDescribe how IBM Cognos BI uses Governors that affect SQL generation metadatacardinality Identify environment and model session Prepare Reusable MetadataIdentify reporting traps parameters Examine relationships, and data trapsUse tools to analyze the model Perform basic maintenance and Verify relationships and query itemModel for Predictable Results: Virtual Star management on a model propertiesSchemas Identify and implement techniques to Ensure efficient filters by configuringModel in layers optimize and tune your Framework prompt propertiesCreate aliases to avoid ambiguous joins Manager models Model for Predictable Results: IdentifyMerge query subjects to create as view Segment and link a project Reporting Issuesbehavior Specify package languages and function Describe how IBM Cognos BI usesModel for Predictable Results: Consolidate sets cardinalityMetadata Leverage a user defined function Identify reporting traps

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Create virtual dimensions to resolve Customize metadata for a multilingual Use tools to analyze the modelfact-to-fact joins audience Model for Predictable Results: Virtual StarCreate a consolidated modeling layer for Links to sites where the customer can Schemaspresentation purposes find more information about Model in layersConsolidate snowflake dimensions with course-related material. Create aliases to avoid ambiguous joinsmodel query subjects Merge query subjects to create as viewSimplify facts by hiding unnecessary codes behaviorCalculations and Filters line Model for Predictable Results: ConsolidateUse static filters to reduce the data returned Describe IBM Cognos components MetadataUse macros and parameters in calculations Describe IBM Cognos architecture at a Create virtual dimensions to resolveand filters to dynamically control the data high level fact-to-fact joinsreturned Define IBM Cognos groups and roles Create a consolidated modeling layer forImplement a Time Dimension Explain how to extend IBM Cognos presentation purposesResolve confusion caused by multiple Identify Common Data Structures Consolidate snowflake dimensions withrelationships between a time dimension and Examine relationships and cardinality model query subjectsanother table Identify different data traps Simplify facts by hiding unnecessary codesSpecify Determinants Examine dimensional data sources Calculations and FiltersCreate the Presentation View Gather Requirements Use static filters to reduce the dataIdentify conformed vs. non-conformed Define reporting requirements returneddimensions Explore data sources to identify data Use macros and parameters inCreate star schema groupings to provide access strategies calculations and filters to dynamicallyauthors with logical groupings of query Create a Baseline Project control the data returnedsubjects Define a project and its structure Implement a Time DimensionRapidly create a model using the Model Describe the Framework Manager Resolve confusion caused by multipleDesign Accelerator environment relationships between a time dimensionWork with Different Query Subject Types Create a baseline project and another tableIdentify the effects on generated SQL when Enhance the model with additional Specify Determinantsmodifying query subjects, SQL settings and metadata Create the Presentation Viewrelationships Prepare Reusable Metadata Identify conformed vs. non-conformedSet Security in Framework Manager Examine relationships, and data traps dimensionsRestrict access to packages Verify relationships and query item Create star schema groupings to provideCreate and apply security filters properties authors with logical groupings of queryRestrict access to objects in the model Ensure efficient filters by configuring subjectsCreate Analysis Objects prompt properties Rapidly create a model using the ModelDefine members and member unique names Model for Predictable Results: Identify Design AcceleratorIdentify changes that impact a MUN Reporting Issues Work with Different Query Subject TypesSort members for presentation and Describe how IBM Cognos BI uses Identify the effects on generated SQLpredictability cardinality when modifying query subjects, SQLManage OLAP Data Sources Identify reporting traps settings and relationshipsPublish an OLAP model Use tools to analyze the model Set Security in Framework ManagerPublish a model with multiple OLAP data Model for Predictable Results: Virtual Restrict access to packagessources Star Schemas Create and apply security filtersPublish a model with an OLAP data source Model in layers Restrict access to objects in the modeland a relational data source Create aliases to avoid ambiguous joins Create Analysis ObjectsAdvanced Generated SQL Concepts and Merge query subjects to create as view Define members and member uniqueComplex Queries behavior namesStitch query SQL Model for Predictable Results: Identify changes that impact a MUNConformed and non-conformed dimensions Consolidate Metadata Sort members for presentation andin generated SQL Create virtual dimensions to resolve predictabilityMulti-fact/multi-grain stitch query SQL fact-to-fact joins Manage OLAP Data SourcesVariances in Report Studio generated SQL Create a consolidated modeling layer for Publish an OLAP modelDimensionally modeled relational SQL presentation purposes Publish a model with multiple OLAP datageneration Consolidate snowflake dimensions with sourcesCross join SQL model query subjects Publish a model with an OLAP data sourceVarious results sets for multi-fact queries Simplify facts by hiding unnecessary and a relational data sourceUse Advanced Parameterization Techniques codes Advanced Generated SQL Concepts andin Framework Manger Calculations and Filters Complex QueriesLeverage session, model, and custom Use static filters to reduce the data Stitch query SQLparameters returned Conformed and non-conformedCreate prompt macros Use macros and parameters in dimensions in generated SQLLeverage macro functions associated with calculations and filters to dynamically Multi-fact/multi-grain stitch query SQLsecurity control the data returned Variances in Report Studio generated SQLModel Maintenance and Extensibility Implement a Time Dimension Dimensionally modeled relational SQLRemap metadata to another source Resolve confusion caused by multiple generationImport and link a second data source relationships between a time dimension Cross join SQLRun scripts to automate or update a model and another table Various results sets for multi-fact queries

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Create a model report Specify Determinants Use Advanced ParameterizationOptimize and Tune Framework Manager Create the Presentation View Techniques in Framework MangerModels Identify conformed vs. non-conformed Leverage session, model, and customUse Dynamic Query Mode in Framework dimensions parametersManager Create star schema groupings to provide Create prompt macrosWork in a Multi-Modeler Environment authors with logical groupings of query Leverage macro functions associated withBranch a project and merge results subjects securityManage Framework Manager Packages Rapidly create a model using the Model Model Maintenance and ExtensibilityControl model versioning Design Accelerator Remap metadata to another sourceNest packages Work with Different Query Subject Types Import and link a second data sourceAppendix A: Employ Additional Modeling Identify the effects on generated SQL Run scripts to automate or update a modelTechniques when modifying query subjects, SQL Create a model reportSet the order of operations in a model settings and relationships Optimize and Tune Framework Managercalculation Set Security in Framework Manager ModelsExternalize query subjects Restrict access to packages Use Dynamic Query Mode in FrameworkPrepare IBM Cognos 10 content for use as a Create and apply security filters Managerdata source in Transformer Restrict access to objects in the model Work in a Multi-Modeler EnvironmentCreate query sets Create Analysis Objects Branch a project and merge resultsUse external source control through Define members and member unique Manage Framework Manager PackagesWindows Explorer names Control model versioningAppendix B: Model Multilingual Metadata Identify changes that impact a MUN Nest packagesAppendix C: Additional Resources Sort members for presentation and Appendix A: Employ Additional Modeling

predictability TechniquesManage OLAP Data Sources Set the order of operations in a model

line Publish an OLAP model calculationDescribe IBM Cognos components Publish a model with multiple OLAP data Externalize query subjectsDescribe IBM Cognos architecture at a high sources Prepare IBM Cognos 10 content for use aslevel Publish a model with an OLAP data a data source in TransformerDefine IBM Cognos groups and roles source and a relational data source Create query setsExplain how to extend IBM Cognos Advanced Generated SQL Concepts and Use external source control throughIdentify Common Data Structures Complex Queries Windows ExplorerExamine relationships and cardinality Stitch query SQL Appendix B: Model Multilingual MetadataIdentify different data traps Conformed and non-conformed Appendix C: Additional ResourcesExamine dimensional data sources dimensions in generated SQLGather Requirements Multi-fact/multi-grain stitch query SQLDefine reporting requirements Variances in Report Studio generated lineExplore data sources to identify data access SQL Describe IBM Cognos componentsstrategies Dimensionally modeled relational SQL Describe IBM Cognos architecture at aCreate a Baseline Project generation high levelDefine a project and its structure Cross join SQL Define IBM Cognos groups and rolesDescribe the Framework Manager Various results sets for multi-fact queries Explain how to extend IBM Cognosenvironment Use Advanced Parameterization Identify Common Data StructuresCreate a baseline project Techniques in Framework Manger Examine relationships and cardinalityEnhance the model with additional metadata Leverage session, model, and custom Identify different data trapsPrepare Reusable Metadata parameters Examine dimensional data sourcesExamine relationships, and data traps Create prompt macros Gather RequirementsVerify relationships and query item Leverage macro functions associated Define reporting requirementsproperties with security Explore data sources to identify dataEnsure efficient filters by configuring prompt Model Maintenance and Extensibility access strategiesproperties Remap metadata to another source Create a Baseline ProjectModel for Predictable Results: Identify Import and link a second data source Define a project and its structureReporting Issues Run scripts to automate or update a Describe the Framework ManagerDescribe how IBM Cognos BI uses model environmentcardinality Create a model report Create a baseline projectIdentify reporting traps Optimize and Tune Framework Manager Enhance the model with additionalUse tools to analyze the model Models metadataModel for Predictable Results: Virtual Star Use Dynamic Query Mode in Framework Prepare Reusable MetadataSchemas Manager Examine relationships, and data trapsModel in layers Work in a Multi-Modeler Environment Verify relationships and query itemCreate aliases to avoid ambiguous joins Branch a project and merge results propertiesMerge query subjects to create as view Manage Framework Manager Packages Ensure efficient filters by configuringbehavior Control model versioning prompt propertiesModel for Predictable Results: Consolidate Nest packages Model for Predictable Results: IdentifyMetadata Appendix A: Employ Additional Modeling Reporting IssuesCreate virtual dimensions to resolve Techniques Describe how IBM Cognos BI usesfact-to-fact joins Set the order of operations in a model cardinality

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Create a consolidated modeling layer for calculation Identify reporting trapspresentation purposes Externalize query subjects Use tools to analyze the modelConsolidate snowflake dimensions with Prepare IBM Cognos 10 content for use Model for Predictable Results: Virtual Starmodel query subjects as a data source in Transformer SchemasSimplify facts by hiding unnecessary codes Create query sets Model in layersCalculations and Filters Use external source control through Create aliases to avoid ambiguous joinsUse static filters to reduce the data returned Windows Explorer Merge query subjects to create as viewUse macros and parameters in calculations Appendix B: Model Multilingual Metadata behaviorand filters to dynamically control the data Appendix C: Additional Resources Model for Predictable Results: Consolidatereturned MetadataImplement a Time Dimension Create virtual dimensions to resolveResolve confusion caused by multiple line fact-to-fact joinsrelationships between a time dimension and Describe IBM Cognos components Create a consolidated modeling layer foranother table Describe IBM Cognos architecture at a presentation purposesSpecify Determinants high level Consolidate snowflake dimensions withCreate the Presentation View Define IBM Cognos groups and roles model query subjectsIdentify conformed vs. non-conformed Explain how to extend IBM Cognos Simplify facts by hiding unnecessary codesdimensions Identify Common Data Structures Calculations and FiltersCreate star schema groupings to provide Examine relationships and cardinality Use static filters to reduce the dataauthors with logical groupings of query Identify different data traps returnedsubjects Examine dimensional data sources Use macros and parameters inRapidly create a model using the Model Gather Requirements calculations and filters to dynamicallyDesign Accelerator Define reporting requirements control the data returnedWork with Different Query Subject Types Explore data sources to identify data Implement a Time DimensionIdentify the effects on generated SQL when access strategies Resolve confusion caused by multiplemodifying query subjects, SQL settings and Create a Baseline Project relationships between a time dimensionrelationships Define a project and its structure and another tableSet Security in Framework Manager Describe the Framework Manager Specify DeterminantsRestrict access to packages environment Create the Presentation ViewCreate and apply security filters Create a baseline project Identify conformed vs. non-conformedRestrict access to objects in the model Enhance the model with additional dimensionsCreate Analysis Objects metadata Create star schema groupings to provideDefine members and member unique names Prepare Reusable Metadata authors with logical groupings of queryIdentify changes that impact a MUN Examine relationships, and data traps subjectsSort members for presentation and Verify relationships and query item Rapidly create a model using the Modelpredictability properties Design AcceleratorManage OLAP Data Sources Ensure efficient filters by configuring Work with Different Query Subject TypesPublish an OLAP model prompt properties Identify the effects on generated SQLPublish a model with multiple OLAP data Model for Predictable Results: Identify when modifying query subjects, SQLsources Reporting Issues settings and relationshipsPublish a model with an OLAP data source Describe how IBM Cognos BI uses Set Security in Framework Managerand a relational data source cardinality Restrict access to packagesAdvanced Generated SQL Concepts and Identify reporting traps Create and apply security filtersComplex Queries Use tools to analyze the model Restrict access to objects in the modelStitch query SQL Model for Predictable Results: Virtual Create Analysis ObjectsConformed and non-conformed dimensions Star Schemas Define members and member uniquein generated SQL Model in layers namesMulti-fact/multi-grain stitch query SQL Create aliases to avoid ambiguous joins Identify changes that impact a MUNVariances in Report Studio generated SQL Merge query subjects to create as view Sort members for presentation andDimensionally modeled relational SQL behavior predictabilitygeneration Model for Predictable Results: Manage OLAP Data SourcesCross join SQL Consolidate Metadata Publish an OLAP modelVarious results sets for multi-fact queries Create virtual dimensions to resolve Publish a model with multiple OLAP dataUse Advanced Parameterization Techniques fact-to-fact joins sourcesin Framework Manger Create a consolidated modeling layer for Publish a model with an OLAP data sourceLeverage session, model, and custom presentation purposes and a relational data sourceparameters Consolidate snowflake dimensions with Advanced Generated SQL Concepts andCreate prompt macros model query subjects Complex QueriesLeverage macro functions associated with Simplify facts by hiding unnecessary Stitch query SQLsecurity codes Conformed and non-conformedModel Maintenance and Extensibility Calculations and Filters dimensions in generated SQLRemap metadata to another source Use static filters to reduce the data Multi-fact/multi-grain stitch query SQLImport and link a second data source returned Variances in Report Studio generated SQLRun scripts to automate or update a model Use macros and parameters in Dimensionally modeled relational SQLCreate a model report calculations and filters to dynamically generationOptimize and Tune Framework Manager control the data returned Cross join SQL

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Models Implement a Time Dimension Various results sets for multi-fact queriesUse Dynamic Query Mode in Framework Resolve confusion caused by multiple Use Advanced ParameterizationManager relationships between a time dimension Techniques in Framework MangerWork in a Multi-Modeler Environment and another table Leverage session, model, and customBranch a project and merge results Specify Determinants parametersManage Framework Manager Packages Create the Presentation View Create prompt macrosControl model versioning Identify conformed vs. non-conformed Leverage macro functions associated withNest packages dimensions securityAppendix A: Employ Additional Modeling Create star schema groupings to provide Model Maintenance and ExtensibilityTechniques authors with logical groupings of query Remap metadata to another sourceSet the order of operations in a model subjects Import and link a second data sourcecalculation Rapidly create a model using the Model Run scripts to automate or update a modelExternalize query subjects Design Accelerator Create a model reportPrepare IBM Cognos 10 content for use as a Work with Different Query Subject Types Optimize and Tune Framework Managerdata source in Transformer Identify the effects on generated SQL ModelsCreate query sets when modifying query subjects, SQL Use Dynamic Query Mode in FrameworkUse external source control through settings and relationships ManagerWindows Explorer Set Security in Framework Manager Work in a Multi-Modeler EnvironmentAppendix B: Model Multilingual Metadata Restrict access to packages Branch a project and merge resultsAppendix C: Additional Resources Create and apply security filters Manage Framework Manager Packages

Restrict access to objects in the model Control model versioningCreate Analysis Objects Nest packages

line Define members and member unique Appendix A: Employ Additional ModelingDescribe IBM Cognos components names TechniquesDescribe IBM Cognos architecture at a high Identify changes that impact a MUN Set the order of operations in a modellevel Sort members for presentation and calculationDefine IBM Cognos groups and roles predictability Externalize query subjectsExplain how to extend IBM Cognos Manage OLAP Data Sources Prepare IBM Cognos 10 content for use asIdentify Common Data Structures Publish an OLAP model a data source in TransformerExamine relationships and cardinality Publish a model with multiple OLAP data Create query setsIdentify different data traps sources Use external source control throughExamine dimensional data sources Publish a model with an OLAP data Windows ExplorerGather Requirements source and a relational data source Appendix B: Model Multilingual MetadataDefine reporting requirements Advanced Generated SQL Concepts and Appendix C: Additional ResourcesExplore data sources to identify data access Complex Queriesstrategies Stitch query SQLCreate a Baseline Project Conformed and non-conformed lineDefine a project and its structure dimensions in generated SQL Discuss IBM Cognos and PerformanceDescribe the Framework Manager Multi-fact/multi-grain stitch query SQL Managementenvironment Variances in Report Studio generated Examine the characteristics of operationalCreate a baseline project SQL databases and databases designed forEnhance the model with additional metadata Dimensionally modeled relational SQL reportingPrepare Reusable Metadata generation Examine key modeling recommendationsExamine relationships, and data traps Cross join SQL Examine the IBM Cognos BI andVerify relationships and query item Various results sets for multi-fact queries Framework Manager workflow processesproperties Use Advanced Parameterization Identify facts and dimensionsEnsure efficient filters by configuring prompt Techniques in Framework Manger Describe multi-fact queries and when fullproperties Leverage session, model, and custom outer joins are appropriateModel for Predictable Results: Identify parameters Identify the advantages of modelingReporting Issues Create prompt macros metadata as a star schemaDescribe how IBM Cognos BI uses Leverage macro functions associated Create virtual facts to simplify writingcardinality with security queriesIdentify reporting traps Model Maintenance and Extensibility Use calculations to createUse tools to analyze the model Remap metadata to another source commonly-needed query items for authorsModel for Predictable Results: Virtual Star Import and link a second data source Make time-based queries simple to authorSchemas Run scripts to automate or update a by implementing a time dimensionModel in layers model Use determinants to specify multiple levelsCreate aliases to avoid ambiguous joins Create a model report of granularity and prevent double-countingMerge query subjects to create as view Optimize and Tune Framework Manager Identify the dimensions associated with abehavior Models fact tableModel for Predictable Results: Consolidate Use Dynamic Query Mode in Framework Identify key differences andMetadata Manager recommendations for using data source,Create virtual dimensions to resolve Work in a Multi-Modeler Environment model, and stored procedure queryfact-to-fact joins Branch a project and merge results subjectsCreate a consolidated modeling layer for Manage Framework Manager Packages Examine the IBM Cognos BI securitypresentation purposes Control model versioning environment

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Consolidate snowflake dimensions with Nest packages Apply dimensional information to relationalmodel query subjects Appendix A: Employ Additional Modeling Metadata to enable OLAP-style queriesSimplify facts by hiding unnecessary codes Techniques Connect to an OLAP data source (cube) inCalculations and Filters Set the order of operations in a model a Framework Manager projectUse static filters to reduce the data returned calculation Governors that affect SQL generationUse macros and parameters in calculations Externalize query subjects Identify environment and model sessionand filters to dynamically control the data Prepare IBM Cognos 10 content for use parametersreturned as a data source in Transformer Perform basic maintenance andImplement a Time Dimension Create query sets management on a modelResolve confusion caused by multiple Use external source control through Identify and implement techniques torelationships between a time dimension and Windows Explorer optimize and tune your Frameworkanother table Appendix B: Model Multilingual Metadata Manager modelsSpecify Determinants Appendix C: Additional Resources Segment and link a projectCreate the Presentation View Specify package languages and functionIdentify conformed vs. non-conformed setsdimensions line Leverage a user defined functionCreate star schema groupings to provide Describe IBM Cognos components Customize metadata for a multilingualauthors with logical groupings of query Describe IBM Cognos architecture at a audiencesubjects high level Links to sites where the customer can findRapidly create a model using the Model Define IBM Cognos groups and roles more information about course-relatedDesign Accelerator Explain how to extend IBM Cognos material.Work with Different Query Subject Types Identify Common Data StructuresIdentify the effects on generated SQL when Examine relationships and cardinalitymodifying query subjects, SQL settings and Identify different data traps linerelationships Examine dimensional data sources Describe IBM Cognos componentsSet Security in Framework Manager Gather Requirements Describe IBM Cognos architecture at aRestrict access to packages Define reporting requirements high levelCreate and apply security filters Explore data sources to identify data Define IBM Cognos groups and rolesRestrict access to objects in the model access strategies Explain how to extend IBM CognosCreate Analysis Objects Create a Baseline Project Identify Common Data StructuresDefine members and member unique names Define a project and its structure Examine relationships and cardinalityIdentify changes that impact a MUN Describe the Framework Manager Identify different data trapsSort members for presentation and environment Examine dimensional data sourcespredictability Create a baseline project Gather RequirementsManage OLAP Data Sources Enhance the model with additional Define reporting requirementsPublish an OLAP model metadata Explore data sources to identify dataPublish a model with multiple OLAP data Prepare Reusable Metadata access strategiessources Examine relationships, and data traps Create a Baseline ProjectPublish a model with an OLAP data source Verify relationships and query item Define a project and its structureand a relational data source properties Describe the Framework ManagerAdvanced Generated SQL Concepts and Ensure efficient filters by configuring environmentComplex Queries prompt properties Create a baseline projectStitch query SQL Model for Predictable Results: Identify Enhance the model with additionalConformed and non-conformed dimensions Reporting Issues metadatain generated SQL Describe how IBM Cognos BI uses Prepare Reusable MetadataMulti-fact/multi-grain stitch query SQL cardinality Examine relationships, and data trapsVariances in Report Studio generated SQL Identify reporting traps Verify relationships and query itemDimensionally modeled relational SQL Use tools to analyze the model propertiesgeneration Model for Predictable Results: Virtual Ensure efficient filters by configuringCross join SQL Star Schemas prompt propertiesVarious results sets for multi-fact queries Model in layers Model for Predictable Results: IdentifyUse Advanced Parameterization Techniques Create aliases to avoid ambiguous joins Reporting Issuesin Framework Manger Merge query subjects to create as view Describe how IBM Cognos BI usesLeverage session, model, and custom behavior cardinalityparameters Model for Predictable Results: Identify reporting trapsCreate prompt macros Consolidate Metadata Use tools to analyze the modelLeverage macro functions associated with Create virtual dimensions to resolve Model for Predictable Results: Virtual Starsecurity fact-to-fact joins SchemasModel Maintenance and Extensibility Create a consolidated modeling layer for Model in layersRemap metadata to another source presentation purposes Create aliases to avoid ambiguous joinsImport and link a second data source Consolidate snowflake dimensions with Merge query subjects to create as viewRun scripts to automate or update a model model query subjects behaviorCreate a model report Simplify facts by hiding unnecessary Model for Predictable Results: ConsolidateOptimize and Tune Framework Manager codes MetadataModels Calculations and Filters Create virtual dimensions to resolveUse Dynamic Query Mode in Framework Use static filters to reduce the data fact-to-fact joins

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Manager returned Create a consolidated modeling layer forWork in a Multi-Modeler Environment Use macros and parameters in presentation purposesBranch a project and merge results calculations and filters to dynamically Consolidate snowflake dimensions withManage Framework Manager Packages control the data returned model query subjectsControl model versioning Implement a Time Dimension Simplify facts by hiding unnecessary codesNest packages Resolve confusion caused by multiple Calculations and FiltersAppendix A: Employ Additional Modeling relationships between a time dimension Use static filters to reduce the dataTechniques and another table returnedSet the order of operations in a model Specify Determinants Use macros and parameters incalculation Create the Presentation View calculations and filters to dynamicallyExternalize query subjects Identify conformed vs. non-conformed control the data returnedPrepare IBM Cognos 10 content for use as a dimensions Implement a Time Dimensiondata source in Transformer Create star schema groupings to provide Resolve confusion caused by multipleCreate query sets authors with logical groupings of query relationships between a time dimensionUse external source control through subjects and another tableWindows Explorer Rapidly create a model using the Model Specify DeterminantsAppendix B: Model Multilingual Metadata Design Accelerator Create the Presentation ViewAppendix C: Additional Resources Work with Different Query Subject Types Identify conformed vs. non-conformed

Identify the effects on generated SQL dimensionswhen modifying query subjects, SQL Create star schema groupings to provide

line settings and relationships authors with logical groupings of queryDescribe IBM Cognos components Set Security in Framework Manager subjectsDescribe IBM Cognos architecture at a high Restrict access to packages Rapidly create a model using the Modellevel Create and apply security filters Design AcceleratorDefine IBM Cognos groups and roles Restrict access to objects in the model Work with Different Query Subject TypesExplain how to extend IBM Cognos Create Analysis Objects Identify the effects on generated SQLIdentify Common Data Structures Define members and member unique when modifying query subjects, SQLExamine relationships and cardinality names settings and relationshipsIdentify different data traps Identify changes that impact a MUN Set Security in Framework ManagerExamine dimensional data sources Sort members for presentation and Restrict access to packagesGather Requirements predictability Create and apply security filtersDefine reporting requirements Manage OLAP Data Sources Restrict access to objects in the modelExplore data sources to identify data access Publish an OLAP model Create Analysis Objectsstrategies Publish a model with multiple OLAP data Define members and member uniqueCreate a Baseline Project sources namesDefine a project and its structure Publish a model with an OLAP data Identify changes that impact a MUNDescribe the Framework Manager source and a relational data source Sort members for presentation andenvironment Advanced Generated SQL Concepts and predictabilityCreate a baseline project Complex Queries Manage OLAP Data SourcesEnhance the model with additional metadata Stitch query SQL Publish an OLAP modelPrepare Reusable Metadata Conformed and non-conformed Publish a model with multiple OLAP dataExamine relationships, and data traps dimensions in generated SQL sourcesVerify relationships and query item Multi-fact/multi-grain stitch query SQL Publish a model with an OLAP data sourceproperties Variances in Report Studio generated and a relational data sourceEnsure efficient filters by configuring prompt SQL Advanced Generated SQL Concepts andproperties Dimensionally modeled relational SQL Complex QueriesModel for Predictable Results: Identify generation Stitch query SQLReporting Issues Cross join SQL Conformed and non-conformedDescribe how IBM Cognos BI uses Various results sets for multi-fact queries dimensions in generated SQLcardinality Use Advanced Parameterization Multi-fact/multi-grain stitch query SQLIdentify reporting traps Techniques in Framework Manger Variances in Report Studio generated SQLUse tools to analyze the model Leverage session, model, and custom Dimensionally modeled relational SQLModel for Predictable Results: Virtual Star parameters generationSchemas Create prompt macros Cross join SQLModel in layers Leverage macro functions associated Various results sets for multi-fact queriesCreate aliases to avoid ambiguous joins with security Use Advanced ParameterizationMerge query subjects to create as view Model Maintenance and Extensibility Techniques in Framework Mangerbehavior Remap metadata to another source Leverage session, model, and customModel for Predictable Results: Consolidate Import and link a second data source parametersMetadata Run scripts to automate or update a Create prompt macrosCreate virtual dimensions to resolve model Leverage macro functions associated withfact-to-fact joins Create a model report securityCreate a consolidated modeling layer for Optimize and Tune Framework Manager Model Maintenance and Extensibilitypresentation purposes Models Remap metadata to another sourceConsolidate snowflake dimensions with Use Dynamic Query Mode in Framework Import and link a second data sourcemodel query subjects Manager Run scripts to automate or update a model

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Simplify facts by hiding unnecessary codes Work in a Multi-Modeler Environment Create a model reportCalculations and Filters Branch a project and merge results Optimize and Tune Framework ManagerUse static filters to reduce the data returned Manage Framework Manager Packages ModelsUse macros and parameters in calculations Control model versioning Use Dynamic Query Mode in Frameworkand filters to dynamically control the data Nest packages Managerreturned Appendix A: Employ Additional Modeling Work in a Multi-Modeler EnvironmentImplement a Time Dimension Techniques Branch a project and merge resultsResolve confusion caused by multiple Set the order of operations in a model Manage Framework Manager Packagesrelationships between a time dimension and calculation Control model versioninganother table Externalize query subjects Nest packagesSpecify Determinants Prepare IBM Cognos 10 content for use Appendix A: Employ Additional ModelingCreate the Presentation View as a data source in Transformer TechniquesIdentify conformed vs. non-conformed Create query sets Set the order of operations in a modeldimensions Use external source control through calculationCreate star schema groupings to provide Windows Explorer Externalize query subjectsauthors with logical groupings of query Appendix B: Model Multilingual Metadata Prepare IBM Cognos 10 content for use assubjects Appendix C: Additional Resources a data source in TransformerRapidly create a model using the Model Create query setsDesign Accelerator Use external source control throughWork with Different Query Subject Types line Windows ExplorerIdentify the effects on generated SQL when Describe IBM Cognos components Appendix B: Model Multilingual Metadatamodifying query subjects, SQL settings and Describe IBM Cognos architecture at a Appendix C: Additional Resourcesrelationships high levelSet Security in Framework Manager Define IBM Cognos groups and rolesRestrict access to packages Explain how to extend IBM Cognos lineCreate and apply security filters Identify Common Data Structures Describe IBM Cognos componentsRestrict access to objects in the model Examine relationships and cardinality Describe IBM Cognos architecture at aCreate Analysis Objects Identify different data traps high levelDefine members and member unique names Examine dimensional data sources Define IBM Cognos groups and rolesIdentify changes that impact a MUN Gather Requirements Explain how to extend IBM CognosSort members for presentation and Define reporting requirements Identify Common Data Structurespredictability Explore data sources to identify data Examine relationships and cardinalityManage OLAP Data Sources access strategies Identify different data trapsPublish an OLAP model Create a Baseline Project Examine dimensional data sourcesPublish a model with multiple OLAP data Define a project and its structure Gather Requirementssources Describe the Framework Manager Define reporting requirementsPublish a model with an OLAP data source environment Explore data sources to identify dataand a relational data source Create a baseline project access strategiesAdvanced Generated SQL Concepts and Enhance the model with additional Create a Baseline ProjectComplex Queries metadata Define a project and its structureStitch query SQL Prepare Reusable Metadata Describe the Framework ManagerConformed and non-conformed dimensions Examine relationships, and data traps environmentin generated SQL Verify relationships and query item Create a baseline projectMulti-fact/multi-grain stitch query SQL properties Enhance the model with additionalVariances in Report Studio generated SQL Ensure efficient filters by configuring metadataDimensionally modeled relational SQL prompt properties Prepare Reusable Metadatageneration Model for Predictable Results: Identify Examine relationships, and data trapsCross join SQL Reporting Issues Verify relationships and query itemVarious results sets for multi-fact queries Describe how IBM Cognos BI uses propertiesUse Advanced Parameterization Techniques cardinality Ensure efficient filters by configuringin Framework Manger Identify reporting traps prompt propertiesLeverage session, model, and custom Use tools to analyze the model Model for Predictable Results: Identifyparameters Model for Predictable Results: Virtual Reporting IssuesCreate prompt macros Star Schemas Describe how IBM Cognos BI usesLeverage macro functions associated with Model in layers cardinalitysecurity Create aliases to avoid ambiguous joins Identify reporting trapsModel Maintenance and Extensibility Merge query subjects to create as view Use tools to analyze the modelRemap metadata to another source behavior Model for Predictable Results: Virtual StarImport and link a second data source Model for Predictable Results: SchemasRun scripts to automate or update a model Consolidate Metadata Model in layersCreate a model report Create virtual dimensions to resolve Create aliases to avoid ambiguous joinsOptimize and Tune Framework Manager fact-to-fact joins Merge query subjects to create as viewModels Create a consolidated modeling layer for behaviorUse Dynamic Query Mode in Framework presentation purposes Model for Predictable Results: ConsolidateManager Consolidate snowflake dimensions with MetadataWork in a Multi-Modeler Environment model query subjects Create virtual dimensions to resolve

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Branch a project and merge results Simplify facts by hiding unnecessary fact-to-fact joinsManage Framework Manager Packages codes Create a consolidated modeling layer forControl model versioning Calculations and Filters presentation purposesNest packages Use static filters to reduce the data Consolidate snowflake dimensions withAppendix A: Employ Additional Modeling returned model query subjectsTechniques Use macros and parameters in Simplify facts by hiding unnecessary codesSet the order of operations in a model calculations and filters to dynamically Calculations and Filterscalculation control the data returned Use static filters to reduce the dataExternalize query subjects Implement a Time Dimension returnedPrepare IBM Cognos 10 content for use as a Resolve confusion caused by multiple Use macros and parameters indata source in Transformer relationships between a time dimension calculations and filters to dynamicallyCreate query sets and another table control the data returnedUse external source control through Specify Determinants Implement a Time DimensionWindows Explorer Create the Presentation View Resolve confusion caused by multipleAppendix B: Model Multilingual Metadata Identify conformed vs. non-conformed relationships between a time dimensionAppendix C: Additional Resources dimensions and another table

Create star schema groupings to provide Specify Determinantsauthors with logical groupings of query Create the Presentation View

line subjects Identify conformed vs. non-conformedDiscuss IBM Cognos and Performance Rapidly create a model using the Model dimensionsManagement Design Accelerator Create star schema groupings to provideExamine the characteristics of operational Work with Different Query Subject Types authors with logical groupings of querydatabases and databases designed for Identify the effects on generated SQL subjectsreporting when modifying query subjects, SQL Rapidly create a model using the ModelExamine key modeling recommendations settings and relationships Design AcceleratorExamine the IBM Cognos BI and Framework Set Security in Framework Manager Work with Different Query Subject TypesManager workflow processes Restrict access to packages Identify the effects on generated SQLIdentify facts and dimensions Create and apply security filters when modifying query subjects, SQLDescribe multi-fact queries and when full Restrict access to objects in the model settings and relationshipsouter joins are appropriate Create Analysis Objects Set Security in Framework ManagerIdentify the advantages of modeling Define members and member unique Restrict access to packagesmetadata as a star schema names Create and apply security filtersCreate virtual facts to simplify writing queries Identify changes that impact a MUN Restrict access to objects in the modelUse calculations to create Sort members for presentation and Create Analysis Objectscommonly-needed query items for authors predictability Define members and member uniqueMake time-based queries simple to author Manage OLAP Data Sources namesby implementing a time dimension Publish an OLAP model Identify changes that impact a MUNUse determinants to specify multiple levels Publish a model with multiple OLAP data Sort members for presentation andof granularity and prevent double-counting sources predictabilityIdentify the dimensions associated with a Publish a model with an OLAP data Manage OLAP Data Sourcesfact table source and a relational data source Publish an OLAP modelIdentify key differences and Advanced Generated SQL Concepts and Publish a model with multiple OLAP datarecommendations for using data source, Complex Queries sourcesmodel, and stored procedure query subjects Stitch query SQL Publish a model with an OLAP data sourceExamine the IBM Cognos BI security Conformed and non-conformed and a relational data sourceenvironment dimensions in generated SQL Advanced Generated SQL Concepts andApply dimensional information to relational Multi-fact/multi-grain stitch query SQL Complex QueriesMetadata to enable OLAP-style queries Variances in Report Studio generated Stitch query SQLConnect to an OLAP data source (cube) in a SQL Conformed and non-conformedFramework Manager project Dimensionally modeled relational SQL dimensions in generated SQLGovernors that affect SQL generation generation Multi-fact/multi-grain stitch query SQLIdentify environment and model session Cross join SQL Variances in Report Studio generated SQLparameters Various results sets for multi-fact queries Dimensionally modeled relational SQLPerform basic maintenance and Use Advanced Parameterization generationmanagement on a model Techniques in Framework Manger Cross join SQLIdentify and implement techniques to Leverage session, model, and custom Various results sets for multi-fact queriesoptimize and tune your Framework Manager parameters Use Advanced Parameterizationmodels Create prompt macros Techniques in Framework MangerSegment and link a project Leverage macro functions associated Leverage session, model, and customSpecify package languages and function with security parameterssets Model Maintenance and Extensibility Create prompt macrosLeverage a user defined function Remap metadata to another source Leverage macro functions associated withCustomize metadata for a multilingual Import and link a second data source securityaudience Run scripts to automate or update a Model Maintenance and ExtensibilityLinks to sites where the customer can find model Remap metadata to another sourcemore information about course-related Create a model report Import and link a second data source

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material. Optimize and Tune Framework Manager Run scripts to automate or update a modelModels Create a model reportUse Dynamic Query Mode in Framework Optimize and Tune Framework Manager

line Manager ModelsDescribe IBM Cognos components Work in a Multi-Modeler Environment Use Dynamic Query Mode in FrameworkDescribe IBM Cognos architecture at a high Branch a project and merge results Managerlevel Manage Framework Manager Packages Work in a Multi-Modeler EnvironmentDefine IBM Cognos groups and roles Control model versioning Branch a project and merge resultsExplain how to extend IBM Cognos Nest packages Manage Framework Manager PackagesIdentify Common Data Structures Appendix A: Employ Additional Modeling Control model versioningExamine relationships and cardinality Techniques Nest packagesIdentify different data traps Set the order of operations in a model Appendix A: Employ Additional ModelingExamine dimensional data sources calculation TechniquesGather Requirements Externalize query subjects Set the order of operations in a modelDefine reporting requirements Prepare IBM Cognos 10 content for use calculationExplore data sources to identify data access as a data source in Transformer Externalize query subjectsstrategies Create query sets Prepare IBM Cognos 10 content for use asCreate a Baseline Project Use external source control through a data source in TransformerDefine a project and its structure Windows Explorer Create query setsDescribe the Framework Manager Appendix B: Model Multilingual Metadata Use external source control throughenvironment Appendix C: Additional Resources Windows ExplorerCreate a baseline project Appendix B: Model Multilingual MetadataEnhance the model with additional metadata Appendix C: Additional ResourcesPrepare Reusable Metadata lineExamine relationships, and data traps Discuss IBM Cognos and PerformanceVerify relationships and query item Management lineproperties Examine the characteristics of Describe IBM Cognos componentsEnsure efficient filters by configuring prompt operational databases and databases Describe IBM Cognos architecture at aproperties designed for reporting high levelModel for Predictable Results: Identify Examine key modeling recommendations Define IBM Cognos groups and rolesReporting Issues Examine the IBM Cognos BI and Explain how to extend IBM CognosDescribe how IBM Cognos BI uses Framework Manager workflow processes Identify Common Data Structurescardinality Identify facts and dimensions Examine relationships and cardinalityIdentify reporting traps Describe multi-fact queries and when full Identify different data trapsUse tools to analyze the model outer joins are appropriate Examine dimensional data sourcesModel for Predictable Results: Virtual Star Identify the advantages of modeling Gather RequirementsSchemas metadata as a star schema Define reporting requirementsModel in layers Create virtual facts to simplify writing Explore data sources to identify dataCreate aliases to avoid ambiguous joins queries access strategiesMerge query subjects to create as view Use calculations to create Create a Baseline Projectbehavior commonly-needed query items for Define a project and its structureModel for Predictable Results: Consolidate authors Describe the Framework ManagerMetadata Make time-based queries simple to environmentCreate virtual dimensions to resolve author by implementing a time dimension Create a baseline projectfact-to-fact joins Use determinants to specify multiple Enhance the model with additionalCreate a consolidated modeling layer for levels of granularity and prevent metadatapresentation purposes double-counting Prepare Reusable MetadataConsolidate snowflake dimensions with Identify the dimensions associated with a Examine relationships, and data trapsmodel query subjects fact table Verify relationships and query itemSimplify facts by hiding unnecessary codes Identify key differences and propertiesCalculations and Filters recommendations for using data source, Ensure efficient filters by configuringUse static filters to reduce the data returned model, and stored procedure query prompt propertiesUse macros and parameters in calculations subjects Model for Predictable Results: Identifyand filters to dynamically control the data Examine the IBM Cognos BI security Reporting Issuesreturned environment Describe how IBM Cognos BI usesImplement a Time Dimension Apply dimensional information to cardinalityResolve confusion caused by multiple relational Metadata to enable OLAP-style Identify reporting trapsrelationships between a time dimension and queries Use tools to analyze the modelanother table Connect to an OLAP data source (cube) Model for Predictable Results: Virtual StarSpecify Determinants in a Framework Manager project SchemasCreate the Presentation View Governors that affect SQL generation Model in layersIdentify conformed vs. non-conformed Identify environment and model session Create aliases to avoid ambiguous joinsdimensions parameters Merge query subjects to create as viewCreate star schema groupings to provide Perform basic maintenance and behaviorauthors with logical groupings of query management on a model Model for Predictable Results: Consolidatesubjects Identify and implement techniques to Metadata

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Rapidly create a model using the Model optimize and tune your Framework Create virtual dimensions to resolveDesign Accelerator Manager models fact-to-fact joinsWork with Different Query Subject Types Segment and link a project Create a consolidated modeling layer forIdentify the effects on generated SQL when Specify package languages and function presentation purposesmodifying query subjects, SQL settings and sets Consolidate snowflake dimensions withrelationships Leverage a user defined function model query subjectsSet Security in Framework Manager Customize metadata for a multilingual Simplify facts by hiding unnecessary codesRestrict access to packages audience Calculations and FiltersCreate and apply security filters Links to sites where the customer can Use static filters to reduce the dataRestrict access to objects in the model find more information about returnedCreate Analysis Objects course-related material. Use macros and parameters inDefine members and member unique names calculations and filters to dynamicallyIdentify changes that impact a MUN control the data returnedSort members for presentation and line Implement a Time Dimensionpredictability Describe IBM Cognos components Resolve confusion caused by multipleManage OLAP Data Sources Describe IBM Cognos architecture at a relationships between a time dimensionPublish an OLAP model high level and another tablePublish a model with multiple OLAP data Define IBM Cognos groups and roles Specify Determinantssources Explain how to extend IBM Cognos Create the Presentation ViewPublish a model with an OLAP data source Identify Common Data Structures Identify conformed vs. non-conformedand a relational data source Examine relationships and cardinality dimensionsAdvanced Generated SQL Concepts and Identify different data traps Create star schema groupings to provideComplex Queries Examine dimensional data sources authors with logical groupings of queryStitch query SQL Gather Requirements subjectsConformed and non-conformed dimensions Define reporting requirements Rapidly create a model using the Modelin generated SQL Explore data sources to identify data Design AcceleratorMulti-fact/multi-grain stitch query SQL access strategies Work with Different Query Subject TypesVariances in Report Studio generated SQL Create a Baseline Project Identify the effects on generated SQLDimensionally modeled relational SQL Define a project and its structure when modifying query subjects, SQLgeneration Describe the Framework Manager settings and relationshipsCross join SQL environment Set Security in Framework ManagerVarious results sets for multi-fact queries Create a baseline project Restrict access to packagesUse Advanced Parameterization Techniques Enhance the model with additional Create and apply security filtersin Framework Manger metadata Restrict access to objects in the modelLeverage session, model, and custom Prepare Reusable Metadata Create Analysis Objectsparameters Examine relationships, and data traps Define members and member uniqueCreate prompt macros Verify relationships and query item namesLeverage macro functions associated with properties Identify changes that impact a MUNsecurity Ensure efficient filters by configuring Sort members for presentation andModel Maintenance and Extensibility prompt properties predictabilityRemap metadata to another source Model for Predictable Results: Identify Manage OLAP Data SourcesImport and link a second data source Reporting Issues Publish an OLAP modelRun scripts to automate or update a model Describe how IBM Cognos BI uses Publish a model with multiple OLAP dataCreate a model report cardinality sourcesOptimize and Tune Framework Manager Identify reporting traps Publish a model with an OLAP data sourceModels Use tools to analyze the model and a relational data sourceUse Dynamic Query Mode in Framework Model for Predictable Results: Virtual Advanced Generated SQL Concepts andManager Star Schemas Complex QueriesWork in a Multi-Modeler Environment Model in layers Stitch query SQLBranch a project and merge results Create aliases to avoid ambiguous joins Conformed and non-conformedManage Framework Manager Packages Merge query subjects to create as view dimensions in generated SQLControl model versioning behavior Multi-fact/multi-grain stitch query SQLNest packages Model for Predictable Results: Variances in Report Studio generated SQLAppendix A: Employ Additional Modeling Consolidate Metadata Dimensionally modeled relational SQLTechniques Create virtual dimensions to resolve generationSet the order of operations in a model fact-to-fact joins Cross join SQLcalculation Create a consolidated modeling layer for Various results sets for multi-fact queriesExternalize query subjects presentation purposes Use Advanced ParameterizationPrepare IBM Cognos 10 content for use as a Consolidate snowflake dimensions with Techniques in Framework Mangerdata source in Transformer model query subjects Leverage session, model, and customCreate query sets Simplify facts by hiding unnecessary parametersUse external source control through codes Create prompt macrosWindows Explorer Calculations and Filters Leverage macro functions associated withAppendix B: Model Multilingual Metadata Use static filters to reduce the data securityAppendix C: Additional Resources returned Model Maintenance and Extensibility

Use macros and parameters in Remap metadata to another source

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calculations and filters to dynamically Import and link a second data sourceline control the data returned Run scripts to automate or update a model

Describe IBM Cognos components Implement a Time Dimension Create a model reportDescribe IBM Cognos architecture at a high Resolve confusion caused by multiple Optimize and Tune Framework Managerlevel relationships between a time dimension ModelsDefine IBM Cognos groups and roles and another table Use Dynamic Query Mode in FrameworkExplain how to extend IBM Cognos Specify Determinants ManagerIdentify Common Data Structures Create the Presentation View Work in a Multi-Modeler EnvironmentExamine relationships and cardinality Identify conformed vs. non-conformed Branch a project and merge resultsIdentify different data traps dimensions Manage Framework Manager PackagesExamine dimensional data sources Create star schema groupings to provide Control model versioningGather Requirements authors with logical groupings of query Nest packagesDefine reporting requirements subjects Appendix A: Employ Additional ModelingExplore data sources to identify data access Rapidly create a model using the Model Techniquesstrategies Design Accelerator Set the order of operations in a modelCreate a Baseline Project Work with Different Query Subject Types calculationDefine a project and its structure Identify the effects on generated SQL Externalize query subjectsDescribe the Framework Manager when modifying query subjects, SQL Prepare IBM Cognos 10 content for use asenvironment settings and relationships a data source in TransformerCreate a baseline project Set Security in Framework Manager Create query setsEnhance the model with additional metadata Restrict access to packages Use external source control throughPrepare Reusable Metadata Create and apply security filters Windows ExplorerExamine relationships, and data traps Restrict access to objects in the model Appendix B: Model Multilingual MetadataVerify relationships and query item Create Analysis Objects Appendix C: Additional Resourcesproperties Define members and member uniqueEnsure efficient filters by configuring prompt namesproperties Identify changes that impact a MUN lineModel for Predictable Results: Identify Sort members for presentation and Discuss IBM Cognos and PerformanceReporting Issues predictability ManagementDescribe how IBM Cognos BI uses Manage OLAP Data Sources Examine the characteristics of operationalcardinality Publish an OLAP model databases and databases designed forIdentify reporting traps Publish a model with multiple OLAP data reportingUse tools to analyze the model sources Examine key modeling recommendationsModel for Predictable Results: Virtual Star Publish a model with an OLAP data Examine the IBM Cognos BI andSchemas source and a relational data source Framework Manager workflow processesModel in layers Advanced Generated SQL Concepts and Identify facts and dimensionsCreate aliases to avoid ambiguous joins Complex Queries Describe multi-fact queries and when fullMerge query subjects to create as view Stitch query SQL outer joins are appropriatebehavior Conformed and non-conformed Identify the advantages of modelingModel for Predictable Results: Consolidate dimensions in generated SQL metadata as a star schemaMetadata Multi-fact/multi-grain stitch query SQL Create virtual facts to simplify writingCreate virtual dimensions to resolve Variances in Report Studio generated queriesfact-to-fact joins SQL Use calculations to createCreate a consolidated modeling layer for Dimensionally modeled relational SQL commonly-needed query items for authorspresentation purposes generation Make time-based queries simple to authorConsolidate snowflake dimensions with Cross join SQL by implementing a time dimensionmodel query subjects Various results sets for multi-fact queries Use determinants to specify multiple levelsSimplify facts by hiding unnecessary codes Use Advanced Parameterization of granularity and prevent double-countingCalculations and Filters Techniques in Framework Manger Identify the dimensions associated with aUse static filters to reduce the data returned Leverage session, model, and custom fact tableUse macros and parameters in calculations parameters Identify key differences andand filters to dynamically control the data Create prompt macros recommendations for using data source,returned Leverage macro functions associated model, and stored procedure queryImplement a Time Dimension with security subjectsResolve confusion caused by multiple Model Maintenance and Extensibility Examine the IBM Cognos BI securityrelationships between a time dimension and Remap metadata to another source environmentanother table Import and link a second data source Apply dimensional information to relationalSpecify Determinants Run scripts to automate or update a Metadata to enable OLAP-style queriesCreate the Presentation View model Connect to an OLAP data source (cube) inIdentify conformed vs. non-conformed Create a model report a Framework Manager projectdimensions Optimize and Tune Framework Manager Governors that affect SQL generationCreate star schema groupings to provide Models Identify environment and model sessionauthors with logical groupings of query Use Dynamic Query Mode in Framework parameterssubjects Manager Perform basic maintenance andRapidly create a model using the Model Work in a Multi-Modeler Environment management on a modelDesign Accelerator Branch a project and merge results Identify and implement techniques to

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Work with Different Query Subject Types Manage Framework Manager Packages optimize and tune your FrameworkIdentify the effects on generated SQL when Control model versioning Manager modelsmodifying query subjects, SQL settings and Nest packages Segment and link a projectrelationships Appendix A: Employ Additional Modeling Specify package languages and functionSet Security in Framework Manager Techniques setsRestrict access to packages Set the order of operations in a model Leverage a user defined functionCreate and apply security filters calculation Customize metadata for a multilingualRestrict access to objects in the model Externalize query subjects audienceCreate Analysis Objects Prepare IBM Cognos 10 content for use Links to sites where the customer can findDefine members and member unique names as a data source in Transformer more information about course-relatedIdentify changes that impact a MUN Create query sets material.Sort members for presentation and Use external source control throughpredictability Windows ExplorerManage OLAP Data Sources Appendix B: Model Multilingual Metadata linePublish an OLAP model Appendix C: Additional Resources Describe IBM Cognos componentsPublish a model with multiple OLAP data Describe IBM Cognos architecture at asources high levelPublish a model with an OLAP data source line Define IBM Cognos groups and rolesand a relational data source Describe IBM Cognos components Explain how to extend IBM CognosAdvanced Generated SQL Concepts and Describe IBM Cognos architecture at a Identify Common Data StructuresComplex Queries high level Examine relationships and cardinalityStitch query SQL Define IBM Cognos groups and roles Identify different data trapsConformed and non-conformed dimensions Explain how to extend IBM Cognos Examine dimensional data sourcesin generated SQL Identify Common Data Structures Gather RequirementsMulti-fact/multi-grain stitch query SQL Examine relationships and cardinality Define reporting requirementsVariances in Report Studio generated SQL Identify different data traps Explore data sources to identify dataDimensionally modeled relational SQL Examine dimensional data sources access strategiesgeneration Gather Requirements Create a Baseline ProjectCross join SQL Define reporting requirements Define a project and its structureVarious results sets for multi-fact queries Explore data sources to identify data Describe the Framework ManagerUse Advanced Parameterization Techniques access strategies environmentin Framework Manger Create a Baseline Project Create a baseline projectLeverage session, model, and custom Define a project and its structure Enhance the model with additionalparameters Describe the Framework Manager metadataCreate prompt macros environment Prepare Reusable MetadataLeverage macro functions associated with Create a baseline project Examine relationships, and data trapssecurity Enhance the model with additional Verify relationships and query itemModel Maintenance and Extensibility metadata propertiesRemap metadata to another source Prepare Reusable Metadata Ensure efficient filters by configuringImport and link a second data source Examine relationships, and data traps prompt propertiesRun scripts to automate or update a model Verify relationships and query item Model for Predictable Results: IdentifyCreate a model report properties Reporting IssuesOptimize and Tune Framework Manager Ensure efficient filters by configuring Describe how IBM Cognos BI usesModels prompt properties cardinalityUse Dynamic Query Mode in Framework Model for Predictable Results: Identify Identify reporting trapsManager Reporting Issues Use tools to analyze the modelWork in a Multi-Modeler Environment Describe how IBM Cognos BI uses Model for Predictable Results: Virtual StarBranch a project and merge results cardinality SchemasManage Framework Manager Packages Identify reporting traps Model in layersControl model versioning Use tools to analyze the model Create aliases to avoid ambiguous joinsNest packages Model for Predictable Results: Virtual Merge query subjects to create as viewAppendix A: Employ Additional Modeling Star Schemas behaviorTechniques Model in layers Model for Predictable Results: ConsolidateSet the order of operations in a model Create aliases to avoid ambiguous joins Metadatacalculation Merge query subjects to create as view Create virtual dimensions to resolveExternalize query subjects behavior fact-to-fact joinsPrepare IBM Cognos 10 content for use as a Model for Predictable Results: Create a consolidated modeling layer fordata source in Transformer Consolidate Metadata presentation purposesCreate query sets Create virtual dimensions to resolve Consolidate snowflake dimensions withUse external source control through fact-to-fact joins model query subjectsWindows Explorer Create a consolidated modeling layer for Simplify facts by hiding unnecessary codesAppendix B: Model Multilingual Metadata presentation purposes Calculations and FiltersAppendix C: Additional Resources Consolidate snowflake dimensions with Use static filters to reduce the data

model query subjects returnedSimplify facts by hiding unnecessary Use macros and parameters in

line codes calculations and filters to dynamically

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Describe IBM Cognos components Calculations and Filters control the data returnedDescribe IBM Cognos architecture at a high Use static filters to reduce the data Implement a Time Dimensionlevel returned Resolve confusion caused by multipleDefine IBM Cognos groups and roles Use macros and parameters in relationships between a time dimensionExplain how to extend IBM Cognos calculations and filters to dynamically and another tableIdentify Common Data Structures control the data returned Specify DeterminantsExamine relationships and cardinality Implement a Time Dimension Create the Presentation ViewIdentify different data traps Resolve confusion caused by multiple Identify conformed vs. non-conformedExamine dimensional data sources relationships between a time dimension dimensionsGather Requirements and another table Create star schema groupings to provideDefine reporting requirements Specify Determinants authors with logical groupings of queryExplore data sources to identify data access Create the Presentation View subjectsstrategies Identify conformed vs. non-conformed Rapidly create a model using the ModelCreate a Baseline Project dimensions Design AcceleratorDefine a project and its structure Create star schema groupings to provide Work with Different Query Subject TypesDescribe the Framework Manager authors with logical groupings of query Identify the effects on generated SQLenvironment subjects when modifying query subjects, SQLCreate a baseline project Rapidly create a model using the Model settings and relationshipsEnhance the model with additional metadata Design Accelerator Set Security in Framework ManagerPrepare Reusable Metadata Work with Different Query Subject Types Restrict access to packagesExamine relationships, and data traps Identify the effects on generated SQL Create and apply security filtersVerify relationships and query item when modifying query subjects, SQL Restrict access to objects in the modelproperties settings and relationships Create Analysis ObjectsEnsure efficient filters by configuring prompt Set Security in Framework Manager Define members and member uniqueproperties Restrict access to packages namesModel for Predictable Results: Identify Create and apply security filters Identify changes that impact a MUNReporting Issues Restrict access to objects in the model Sort members for presentation andDescribe how IBM Cognos BI uses Create Analysis Objects predictabilitycardinality Define members and member unique Manage OLAP Data SourcesIdentify reporting traps names Publish an OLAP modelUse tools to analyze the model Identify changes that impact a MUN Publish a model with multiple OLAP dataModel for Predictable Results: Virtual Star Sort members for presentation and sourcesSchemas predictability Publish a model with an OLAP data sourceModel in layers Manage OLAP Data Sources and a relational data sourceCreate aliases to avoid ambiguous joins Publish an OLAP model Advanced Generated SQL Concepts andMerge query subjects to create as view Publish a model with multiple OLAP data Complex Queriesbehavior sources Stitch query SQLModel for Predictable Results: Consolidate Publish a model with an OLAP data Conformed and non-conformedMetadata source and a relational data source dimensions in generated SQLCreate virtual dimensions to resolve Advanced Generated SQL Concepts and Multi-fact/multi-grain stitch query SQLfact-to-fact joins Complex Queries Variances in Report Studio generated SQLCreate a consolidated modeling layer for Stitch query SQL Dimensionally modeled relational SQLpresentation purposes Conformed and non-conformed generationConsolidate snowflake dimensions with dimensions in generated SQL Cross join SQLmodel query subjects Multi-fact/multi-grain stitch query SQL Various results sets for multi-fact queriesSimplify facts by hiding unnecessary codes Variances in Report Studio generated Use Advanced ParameterizationCalculations and Filters SQL Techniques in Framework MangerUse static filters to reduce the data returned Dimensionally modeled relational SQL Leverage session, model, and customUse macros and parameters in calculations generation parametersand filters to dynamically control the data Cross join SQL Create prompt macrosreturned Various results sets for multi-fact queries Leverage macro functions associated withImplement a Time Dimension Use Advanced Parameterization securityResolve confusion caused by multiple Techniques in Framework Manger Model Maintenance and Extensibilityrelationships between a time dimension and Leverage session, model, and custom Remap metadata to another sourceanother table parameters Import and link a second data sourceSpecify Determinants Create prompt macros Run scripts to automate or update a modelCreate the Presentation View Leverage macro functions associated Create a model reportIdentify conformed vs. non-conformed with security Optimize and Tune Framework Managerdimensions Model Maintenance and Extensibility ModelsCreate star schema groupings to provide Remap metadata to another source Use Dynamic Query Mode in Frameworkauthors with logical groupings of query Import and link a second data source Managersubjects Run scripts to automate or update a Work in a Multi-Modeler EnvironmentRapidly create a model using the Model model Branch a project and merge resultsDesign Accelerator Create a model report Manage Framework Manager PackagesWork with Different Query Subject Types Optimize and Tune Framework Manager Control model versioningIdentify the effects on generated SQL when Models Nest packages

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modifying query subjects, SQL settings and Use Dynamic Query Mode in Framework Appendix A: Employ Additional Modelingrelationships Manager TechniquesSet Security in Framework Manager Work in a Multi-Modeler Environment Set the order of operations in a modelRestrict access to packages Branch a project and merge results calculationCreate and apply security filters Manage Framework Manager Packages Externalize query subjectsRestrict access to objects in the model Control model versioning Prepare IBM Cognos 10 content for use asCreate Analysis Objects Nest packages a data source in TransformerDefine members and member unique names Appendix A: Employ Additional Modeling Create query setsIdentify changes that impact a MUN Techniques Use external source control throughSort members for presentation and Set the order of operations in a model Windows Explorerpredictability calculation Appendix B: Model Multilingual MetadataManage OLAP Data Sources Externalize query subjects Appendix C: Additional ResourcesPublish an OLAP model Prepare IBM Cognos 10 content for usePublish a model with multiple OLAP data as a data source in Transformersources Create query sets linePublish a model with an OLAP data source Use external source control through Describe IBM Cognos componentsand a relational data source Windows Explorer Describe IBM Cognos architecture at aAdvanced Generated SQL Concepts and Appendix B: Model Multilingual Metadata high levelComplex Queries Appendix C: Additional Resources Define IBM Cognos groups and rolesStitch query SQL Explain how to extend IBM CognosConformed and non-conformed dimensions Identify Common Data Structuresin generated SQL line Examine relationships and cardinalityMulti-fact/multi-grain stitch query SQL Describe IBM Cognos components Identify different data trapsVariances in Report Studio generated SQL Describe IBM Cognos architecture at a Examine dimensional data sourcesDimensionally modeled relational SQL high level Gather Requirementsgeneration Define IBM Cognos groups and roles Define reporting requirementsCross join SQL Explain how to extend IBM Cognos Explore data sources to identify dataVarious results sets for multi-fact queries Identify Common Data Structures access strategiesUse Advanced Parameterization Techniques Examine relationships and cardinality Create a Baseline Projectin Framework Manger Identify different data traps Define a project and its structureLeverage session, model, and custom Examine dimensional data sources Describe the Framework Managerparameters Gather Requirements environmentCreate prompt macros Define reporting requirements Create a baseline projectLeverage macro functions associated with Explore data sources to identify data Enhance the model with additionalsecurity access strategies metadataModel Maintenance and Extensibility Create a Baseline Project Prepare Reusable MetadataRemap metadata to another source Define a project and its structure Examine relationships, and data trapsImport and link a second data source Describe the Framework Manager Verify relationships and query itemRun scripts to automate or update a model environment propertiesCreate a model report Create a baseline project Ensure efficient filters by configuringOptimize and Tune Framework Manager Enhance the model with additional prompt propertiesModels metadata Model for Predictable Results: IdentifyUse Dynamic Query Mode in Framework Prepare Reusable Metadata Reporting IssuesManager Examine relationships, and data traps Describe how IBM Cognos BI usesWork in a Multi-Modeler Environment Verify relationships and query item cardinalityBranch a project and merge results properties Identify reporting trapsManage Framework Manager Packages Ensure efficient filters by configuring Use tools to analyze the modelControl model versioning prompt properties Model for Predictable Results: Virtual StarNest packages Model for Predictable Results: Identify SchemasAppendix A: Employ Additional Modeling Reporting Issues Model in layersTechniques Describe how IBM Cognos BI uses Create aliases to avoid ambiguous joinsSet the order of operations in a model cardinality Merge query subjects to create as viewcalculation Identify reporting traps behaviorExternalize query subjects Use tools to analyze the model Model for Predictable Results: ConsolidatePrepare IBM Cognos 10 content for use as a Model for Predictable Results: Virtual Metadatadata source in Transformer Star Schemas Create virtual dimensions to resolveCreate query sets Model in layers fact-to-fact joinsUse external source control through Create aliases to avoid ambiguous joins Create a consolidated modeling layer forWindows Explorer Merge query subjects to create as view presentation purposesAppendix B: Model Multilingual Metadata behavior Consolidate snowflake dimensions withAppendix C: Additional Resources Model for Predictable Results: model query subjects

Consolidate Metadata Simplify facts by hiding unnecessary codesCreate virtual dimensions to resolve Calculations and Filters

line fact-to-fact joins Use static filters to reduce the dataDescribe IBM Cognos components Create a consolidated modeling layer for returnedDescribe IBM Cognos architecture at a high presentation purposes Use macros and parameters in

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level Consolidate snowflake dimensions with calculations and filters to dynamicallyDefine IBM Cognos groups and roles model query subjects control the data returnedExplain how to extend IBM Cognos Simplify facts by hiding unnecessary Implement a Time DimensionIdentify Common Data Structures codes Resolve confusion caused by multipleExamine relationships and cardinality Calculations and Filters relationships between a time dimensionIdentify different data traps Use static filters to reduce the data and another tableExamine dimensional data sources returned Specify DeterminantsGather Requirements Use macros and parameters in Create the Presentation ViewDefine reporting requirements calculations and filters to dynamically Identify conformed vs. non-conformedExplore data sources to identify data access control the data returned dimensionsstrategies Implement a Time Dimension Create star schema groupings to provideCreate a Baseline Project Resolve confusion caused by multiple authors with logical groupings of queryDefine a project and its structure relationships between a time dimension subjectsDescribe the Framework Manager and another table Rapidly create a model using the Modelenvironment Specify Determinants Design AcceleratorCreate a baseline project Create the Presentation View Work with Different Query Subject TypesEnhance the model with additional metadata Identify conformed vs. non-conformed Identify the effects on generated SQLPrepare Reusable Metadata dimensions when modifying query subjects, SQLExamine relationships, and data traps Create star schema groupings to provide settings and relationshipsVerify relationships and query item authors with logical groupings of query Set Security in Framework Managerproperties subjects Restrict access to packagesEnsure efficient filters by configuring prompt Rapidly create a model using the Model Create and apply security filtersproperties Design Accelerator Restrict access to objects in the modelModel for Predictable Results: Identify Work with Different Query Subject Types Create Analysis ObjectsReporting Issues Identify the effects on generated SQL Define members and member uniqueDescribe how IBM Cognos BI uses when modifying query subjects, SQL namescardinality settings and relationships Identify changes that impact a MUNIdentify reporting traps Set Security in Framework Manager Sort members for presentation andUse tools to analyze the model Restrict access to packages predictabilityModel for Predictable Results: Virtual Star Create and apply security filters Manage OLAP Data SourcesSchemas Restrict access to objects in the model Publish an OLAP modelModel in layers Create Analysis Objects Publish a model with multiple OLAP dataCreate aliases to avoid ambiguous joins Define members and member unique sourcesMerge query subjects to create as view names Publish a model with an OLAP data sourcebehavior Identify changes that impact a MUN and a relational data sourceModel for Predictable Results: Consolidate Sort members for presentation and Advanced Generated SQL Concepts andMetadata predictability Complex QueriesCreate virtual dimensions to resolve Manage OLAP Data Sources Stitch query SQLfact-to-fact joins Publish an OLAP model Conformed and non-conformedCreate a consolidated modeling layer for Publish a model with multiple OLAP data dimensions in generated SQLpresentation purposes sources Multi-fact/multi-grain stitch query SQLConsolidate snowflake dimensions with Publish a model with an OLAP data Variances in Report Studio generated SQLmodel query subjects source and a relational data source Dimensionally modeled relational SQLSimplify facts by hiding unnecessary codes Advanced Generated SQL Concepts and generationCalculations and Filters Complex Queries Cross join SQLUse static filters to reduce the data returned Stitch query SQL Various results sets for multi-fact queriesUse macros and parameters in calculations Conformed and non-conformed Use Advanced Parameterizationand filters to dynamically control the data dimensions in generated SQL Techniques in Framework Mangerreturned Multi-fact/multi-grain stitch query SQL Leverage session, model, and customImplement a Time Dimension Variances in Report Studio generated parametersResolve confusion caused by multiple SQL Create prompt macrosrelationships between a time dimension and Dimensionally modeled relational SQL Leverage macro functions associated withanother table generation securitySpecify Determinants Cross join SQL Model Maintenance and ExtensibilityCreate the Presentation View Various results sets for multi-fact queries Remap metadata to another sourceIdentify conformed vs. non-conformed Use Advanced Parameterization Import and link a second data sourcedimensions Techniques in Framework Manger Run scripts to automate or update a modelCreate star schema groupings to provide Leverage session, model, and custom Create a model reportauthors with logical groupings of query parameters Optimize and Tune Framework Managersubjects Create prompt macros ModelsRapidly create a model using the Model Leverage macro functions associated Use Dynamic Query Mode in FrameworkDesign Accelerator with security ManagerWork with Different Query Subject Types Model Maintenance and Extensibility Work in a Multi-Modeler EnvironmentIdentify the effects on generated SQL when Remap metadata to another source Branch a project and merge resultsmodifying query subjects, SQL settings and Import and link a second data source Manage Framework Manager Packagesrelationships Run scripts to automate or update a Control model versioning

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Set Security in Framework Manager model Nest packagesRestrict access to packages Create a model report Appendix A: Employ Additional ModelingCreate and apply security filters Optimize and Tune Framework Manager TechniquesRestrict access to objects in the model Models Set the order of operations in a modelCreate Analysis Objects Use Dynamic Query Mode in Framework calculationDefine members and member unique names Manager Externalize query subjectsIdentify changes that impact a MUN Work in a Multi-Modeler Environment Prepare IBM Cognos 10 content for use asSort members for presentation and Branch a project and merge results a data source in Transformerpredictability Manage Framework Manager Packages Create query setsManage OLAP Data Sources Control model versioning Use external source control throughPublish an OLAP model Nest packages Windows ExplorerPublish a model with multiple OLAP data Appendix A: Employ Additional Modeling Appendix B: Model Multilingual Metadatasources Techniques Appendix C: Additional ResourcesPublish a model with an OLAP data source Set the order of operations in a modeland a relational data source calculationAdvanced Generated SQL Concepts and Externalize query subjects lineComplex Queries Prepare IBM Cognos 10 content for use Describe IBM Cognos componentsStitch query SQL as a data source in Transformer Describe IBM Cognos architecture at aConformed and non-conformed dimensions Create query sets high levelin generated SQL Use external source control through Define IBM Cognos groups and rolesMulti-fact/multi-grain stitch query SQL Windows Explorer Explain how to extend IBM CognosVariances in Report Studio generated SQL Appendix B: Model Multilingual Metadata Identify Common Data StructuresDimensionally modeled relational SQL Appendix C: Additional Resources Examine relationships and cardinalitygeneration Identify different data trapsCross join SQL Examine dimensional data sourcesVarious results sets for multi-fact queries line Gather RequirementsUse Advanced Parameterization Techniques Describe IBM Cognos components Define reporting requirementsin Framework Manger Describe IBM Cognos architecture at a Explore data sources to identify dataLeverage session, model, and custom high level access strategiesparameters Define IBM Cognos groups and roles Create a Baseline ProjectCreate prompt macros Explain how to extend IBM Cognos Define a project and its structureLeverage macro functions associated with Identify Common Data Structures Describe the Framework Managersecurity Examine relationships and cardinality environmentModel Maintenance and Extensibility Identify different data traps Create a baseline projectRemap metadata to another source Examine dimensional data sources Enhance the model with additionalImport and link a second data source Gather Requirements metadataRun scripts to automate or update a model Define reporting requirements Prepare Reusable MetadataCreate a model report Explore data sources to identify data Examine relationships, and data trapsOptimize and Tune Framework Manager access strategies Verify relationships and query itemModels Create a Baseline Project propertiesUse Dynamic Query Mode in Framework Define a project and its structure Ensure efficient filters by configuringManager Describe the Framework Manager prompt propertiesWork in a Multi-Modeler Environment environment Model for Predictable Results: IdentifyBranch a project and merge results Create a baseline project Reporting IssuesManage Framework Manager Packages Enhance the model with additional Describe how IBM Cognos BI usesControl model versioning metadata cardinalityNest packages Prepare Reusable Metadata Identify reporting trapsAppendix A: Employ Additional Modeling Examine relationships, and data traps Use tools to analyze the modelTechniques Verify relationships and query item Model for Predictable Results: Virtual StarSet the order of operations in a model properties Schemascalculation Ensure efficient filters by configuring Model in layersExternalize query subjects prompt properties Create aliases to avoid ambiguous joinsPrepare IBM Cognos 10 content for use as a Model for Predictable Results: Identify Merge query subjects to create as viewdata source in Transformer Reporting Issues behaviorCreate query sets Describe how IBM Cognos BI uses Model for Predictable Results: ConsolidateUse external source control through cardinality MetadataWindows Explorer Identify reporting traps Create virtual dimensions to resolveAppendix B: Model Multilingual Metadata Use tools to analyze the model fact-to-fact joinsAppendix C: Additional Resources Model for Predictable Results: Virtual Create a consolidated modeling layer for

Star Schemas presentation purposesModel in layers Consolidate snowflake dimensions with

line Create aliases to avoid ambiguous joins model query subjectsDiscuss IBM Cognos and Performance Merge query subjects to create as view Simplify facts by hiding unnecessary codesManagement behavior Calculations and FiltersExamine the characteristics of operational Model for Predictable Results: Use static filters to reduce the datadatabases and databases designed for Consolidate Metadata returned

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reporting Create virtual dimensions to resolve Use macros and parameters inExamine key modeling recommendations fact-to-fact joins calculations and filters to dynamicallyExamine the IBM Cognos BI and Framework Create a consolidated modeling layer for control the data returnedManager workflow processes presentation purposes Implement a Time DimensionIdentify facts and dimensions Consolidate snowflake dimensions with Resolve confusion caused by multipleDescribe multi-fact queries and when full model query subjects relationships between a time dimensionouter joins are appropriate Simplify facts by hiding unnecessary and another tableIdentify the advantages of modeling codes Specify Determinantsmetadata as a star schema Calculations and Filters Create the Presentation ViewCreate virtual facts to simplify writing queries Use static filters to reduce the data Identify conformed vs. non-conformedUse calculations to create returned dimensionscommonly-needed query items for authors Use macros and parameters in Create star schema groupings to provideMake time-based queries simple to author calculations and filters to dynamically authors with logical groupings of queryby implementing a time dimension control the data returned subjectsUse determinants to specify multiple levels Implement a Time Dimension Rapidly create a model using the Modelof granularity and prevent double-counting Resolve confusion caused by multiple Design AcceleratorIdentify the dimensions associated with a relationships between a time dimension Work with Different Query Subject Typesfact table and another table Identify the effects on generated SQLIdentify key differences and Specify Determinants when modifying query subjects, SQLrecommendations for using data source, Create the Presentation View settings and relationshipsmodel, and stored procedure query subjects Identify conformed vs. non-conformed Set Security in Framework ManagerExamine the IBM Cognos BI security dimensions Restrict access to packagesenvironment Create star schema groupings to provide Create and apply security filtersApply dimensional information to relational authors with logical groupings of query Restrict access to objects in the modelMetadata to enable OLAP-style queries subjects Create Analysis ObjectsConnect to an OLAP data source (cube) in a Rapidly create a model using the Model Define members and member uniqueFramework Manager project Design Accelerator namesGovernors that affect SQL generation Work with Different Query Subject Types Identify changes that impact a MUNIdentify environment and model session Identify the effects on generated SQL Sort members for presentation andparameters when modifying query subjects, SQL predictabilityPerform basic maintenance and settings and relationships Manage OLAP Data Sourcesmanagement on a model Set Security in Framework Manager Publish an OLAP modelIdentify and implement techniques to Restrict access to packages Publish a model with multiple OLAP dataoptimize and tune your Framework Manager Create and apply security filters sourcesmodels Restrict access to objects in the model Publish a model with an OLAP data sourceSegment and link a project Create Analysis Objects and a relational data sourceSpecify package languages and function Define members and member unique Advanced Generated SQL Concepts andsets names Complex QueriesLeverage a user defined function Identify changes that impact a MUN Stitch query SQLCustomize metadata for a multilingual Sort members for presentation and Conformed and non-conformedaudience predictability dimensions in generated SQLLinks to sites where the customer can find Manage OLAP Data Sources Multi-fact/multi-grain stitch query SQLmore information about course-related Publish an OLAP model Variances in Report Studio generated SQLmaterial. Publish a model with multiple OLAP data Dimensionally modeled relational SQL

sources generationPublish a model with an OLAP data Cross join SQL

line source and a relational data source Various results sets for multi-fact queriesDescribe IBM Cognos components Advanced Generated SQL Concepts and Use Advanced ParameterizationDescribe IBM Cognos architecture at a high Complex Queries Techniques in Framework Mangerlevel Stitch query SQL Leverage session, model, and customDefine IBM Cognos groups and roles Conformed and non-conformed parametersExplain how to extend IBM Cognos dimensions in generated SQL Create prompt macrosIdentify Common Data Structures Multi-fact/multi-grain stitch query SQL Leverage macro functions associated withExamine relationships and cardinality Variances in Report Studio generated securityIdentify different data traps SQL Model Maintenance and ExtensibilityExamine dimensional data sources Dimensionally modeled relational SQL Remap metadata to another sourceGather Requirements generation Import and link a second data sourceDefine reporting requirements Cross join SQL Run scripts to automate or update a modelExplore data sources to identify data access Various results sets for multi-fact queries Create a model reportstrategies Use Advanced Parameterization Optimize and Tune Framework ManagerCreate a Baseline Project Techniques in Framework Manger ModelsDefine a project and its structure Leverage session, model, and custom Use Dynamic Query Mode in FrameworkDescribe the Framework Manager parameters Managerenvironment Create prompt macros Work in a Multi-Modeler EnvironmentCreate a baseline project Leverage macro functions associated Branch a project and merge resultsEnhance the model with additional metadata with security Manage Framework Manager Packages

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Prepare Reusable Metadata Model Maintenance and Extensibility Control model versioningExamine relationships, and data traps Remap metadata to another source Nest packagesVerify relationships and query item Import and link a second data source Appendix A: Employ Additional Modelingproperties Run scripts to automate or update a TechniquesEnsure efficient filters by configuring prompt model Set the order of operations in a modelproperties Create a model report calculationModel for Predictable Results: Identify Optimize and Tune Framework Manager Externalize query subjectsReporting Issues Models Prepare IBM Cognos 10 content for use asDescribe how IBM Cognos BI uses Use Dynamic Query Mode in Framework a data source in Transformercardinality Manager Create query setsIdentify reporting traps Work in a Multi-Modeler Environment Use external source control throughUse tools to analyze the model Branch a project and merge results Windows ExplorerModel for Predictable Results: Virtual Star Manage Framework Manager Packages Appendix B: Model Multilingual MetadataSchemas Control model versioning Appendix C: Additional ResourcesModel in layers Nest packagesCreate aliases to avoid ambiguous joins Appendix A: Employ Additional ModelingMerge query subjects to create as view Techniques linebehavior Set the order of operations in a model Describe IBM Cognos componentsModel for Predictable Results: Consolidate calculation Describe IBM Cognos architecture at aMetadata Externalize query subjects high levelCreate virtual dimensions to resolve Prepare IBM Cognos 10 content for use Define IBM Cognos groups and rolesfact-to-fact joins as a data source in Transformer Explain how to extend IBM CognosCreate a consolidated modeling layer for Create query sets Identify Common Data Structurespresentation purposes Use external source control through Examine relationships and cardinalityConsolidate snowflake dimensions with Windows Explorer Identify different data trapsmodel query subjects Appendix B: Model Multilingual Metadata Examine dimensional data sourcesSimplify facts by hiding unnecessary codes Appendix C: Additional Resources Gather RequirementsCalculations and Filters Define reporting requirementsUse static filters to reduce the data returned Explore data sources to identify dataUse macros and parameters in calculations line access strategiesand filters to dynamically control the data Discuss IBM Cognos and Performance Create a Baseline Projectreturned Management Define a project and its structureImplement a Time Dimension Examine the characteristics of Describe the Framework ManagerResolve confusion caused by multiple operational databases and databases environmentrelationships between a time dimension and designed for reporting Create a baseline projectanother table Examine key modeling recommendations Enhance the model with additionalSpecify Determinants Examine the IBM Cognos BI and metadataCreate the Presentation View Framework Manager workflow processes Prepare Reusable MetadataIdentify conformed vs. non-conformed Identify facts and dimensions Examine relationships, and data trapsdimensions Describe multi-fact queries and when full Verify relationships and query itemCreate star schema groupings to provide outer joins are appropriate propertiesauthors with logical groupings of query Identify the advantages of modeling Ensure efficient filters by configuringsubjects metadata as a star schema prompt propertiesRapidly create a model using the Model Create virtual facts to simplify writing Model for Predictable Results: IdentifyDesign Accelerator queries Reporting IssuesWork with Different Query Subject Types Use calculations to create Describe how IBM Cognos BI usesIdentify the effects on generated SQL when commonly-needed query items for cardinalitymodifying query subjects, SQL settings and authors Identify reporting trapsrelationships Make time-based queries simple to Use tools to analyze the modelSet Security in Framework Manager author by implementing a time dimension Model for Predictable Results: Virtual StarRestrict access to packages Use determinants to specify multiple SchemasCreate and apply security filters levels of granularity and prevent Model in layersRestrict access to objects in the model double-counting Create aliases to avoid ambiguous joinsCreate Analysis Objects Identify the dimensions associated with a Merge query subjects to create as viewDefine members and member unique names fact table behaviorIdentify changes that impact a MUN Identify key differences and Model for Predictable Results: ConsolidateSort members for presentation and recommendations for using data source, Metadatapredictability model, and stored procedure query Create virtual dimensions to resolveManage OLAP Data Sources subjects fact-to-fact joinsPublish an OLAP model Examine the IBM Cognos BI security Create a consolidated modeling layer forPublish a model with multiple OLAP data environment presentation purposessources Apply dimensional information to Consolidate snowflake dimensions withPublish a model with an OLAP data source relational Metadata to enable OLAP-style model query subjectsand a relational data source queries Simplify facts by hiding unnecessary codesAdvanced Generated SQL Concepts and Connect to an OLAP data source (cube) Calculations and FiltersComplex Queries in a Framework Manager project Use static filters to reduce the data

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Stitch query SQL Governors that affect SQL generation returnedConformed and non-conformed dimensions Identify environment and model session Use macros and parameters inin generated SQL parameters calculations and filters to dynamicallyMulti-fact/multi-grain stitch query SQL Perform basic maintenance and control the data returnedVariances in Report Studio generated SQL management on a model Implement a Time DimensionDimensionally modeled relational SQL Identify and implement techniques to Resolve confusion caused by multiplegeneration optimize and tune your Framework relationships between a time dimensionCross join SQL Manager models and another tableVarious results sets for multi-fact queries Segment and link a project Specify DeterminantsUse Advanced Parameterization Techniques Specify package languages and function Create the Presentation Viewin Framework Manger sets Identify conformed vs. non-conformedLeverage session, model, and custom Leverage a user defined function dimensionsparameters Customize metadata for a multilingual Create star schema groupings to provideCreate prompt macros audience authors with logical groupings of queryLeverage macro functions associated with Links to sites where the customer can subjectssecurity find more information about Rapidly create a model using the ModelModel Maintenance and Extensibility course-related material. Design AcceleratorRemap metadata to another source Work with Different Query Subject TypesImport and link a second data source Identify the effects on generated SQLRun scripts to automate or update a model line when modifying query subjects, SQLCreate a model report Describe IBM Cognos components settings and relationshipsOptimize and Tune Framework Manager Describe IBM Cognos architecture at a Set Security in Framework ManagerModels high level Restrict access to packagesUse Dynamic Query Mode in Framework Define IBM Cognos groups and roles Create and apply security filtersManager Explain how to extend IBM Cognos Restrict access to objects in the modelWork in a Multi-Modeler Environment Identify Common Data Structures Create Analysis ObjectsBranch a project and merge results Examine relationships and cardinality Define members and member uniqueManage Framework Manager Packages Identify different data traps namesControl model versioning Examine dimensional data sources Identify changes that impact a MUNNest packages Gather Requirements Sort members for presentation andAppendix A: Employ Additional Modeling Define reporting requirements predictabilityTechniques Explore data sources to identify data Manage OLAP Data SourcesSet the order of operations in a model access strategies Publish an OLAP modelcalculation Create a Baseline Project Publish a model with multiple OLAP dataExternalize query subjects Define a project and its structure sourcesPrepare IBM Cognos 10 content for use as a Describe the Framework Manager Publish a model with an OLAP data sourcedata source in Transformer environment and a relational data sourceCreate query sets Create a baseline project Advanced Generated SQL Concepts andUse external source control through Enhance the model with additional Complex QueriesWindows Explorer metadata Stitch query SQLAppendix B: Model Multilingual Metadata Prepare Reusable Metadata Conformed and non-conformedAppendix C: Additional Resources Examine relationships, and data traps dimensions in generated SQL

Verify relationships and query item Multi-fact/multi-grain stitch query SQLproperties Variances in Report Studio generated SQL

line Ensure efficient filters by configuring Dimensionally modeled relational SQLDescribe IBM Cognos components prompt properties generationDescribe IBM Cognos architecture at a high Model for Predictable Results: Identify Cross join SQLlevel Reporting Issues Various results sets for multi-fact queriesDefine IBM Cognos groups and roles Describe how IBM Cognos BI uses Use Advanced ParameterizationExplain how to extend IBM Cognos cardinality Techniques in Framework MangerIdentify Common Data Structures Identify reporting traps Leverage session, model, and customExamine relationships and cardinality Use tools to analyze the model parametersIdentify different data traps Model for Predictable Results: Virtual Create prompt macrosExamine dimensional data sources Star Schemas Leverage macro functions associated withGather Requirements Model in layers securityDefine reporting requirements Create aliases to avoid ambiguous joins Model Maintenance and ExtensibilityExplore data sources to identify data access Merge query subjects to create as view Remap metadata to another sourcestrategies behavior Import and link a second data sourceCreate a Baseline Project Model for Predictable Results: Run scripts to automate or update a modelDefine a project and its structure Consolidate Metadata Create a model reportDescribe the Framework Manager Create virtual dimensions to resolve Optimize and Tune Framework Managerenvironment fact-to-fact joins ModelsCreate a baseline project Create a consolidated modeling layer for Use Dynamic Query Mode in FrameworkEnhance the model with additional metadata presentation purposes ManagerPrepare Reusable Metadata Consolidate snowflake dimensions with Work in a Multi-Modeler EnvironmentExamine relationships, and data traps model query subjects Branch a project and merge results

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Verify relationships and query item Simplify facts by hiding unnecessary Manage Framework Manager Packagesproperties codes Control model versioningEnsure efficient filters by configuring prompt Calculations and Filters Nest packagesproperties Use static filters to reduce the data Appendix A: Employ Additional ModelingModel for Predictable Results: Identify returned TechniquesReporting Issues Use macros and parameters in Set the order of operations in a modelDescribe how IBM Cognos BI uses calculations and filters to dynamically calculationcardinality control the data returned Externalize query subjectsIdentify reporting traps Implement a Time Dimension Prepare IBM Cognos 10 content for use asUse tools to analyze the model Resolve confusion caused by multiple a data source in TransformerModel for Predictable Results: Virtual Star relationships between a time dimension Create query setsSchemas and another table Use external source control throughModel in layers Specify Determinants Windows ExplorerCreate aliases to avoid ambiguous joins Create the Presentation View Appendix B: Model Multilingual MetadataMerge query subjects to create as view Identify conformed vs. non-conformed Appendix C: Additional Resourcesbehavior dimensionsModel for Predictable Results: Consolidate Create star schema groupings to provideMetadata authors with logical groupings of query lineCreate virtual dimensions to resolve subjects Describe IBM Cognos componentsfact-to-fact joins Rapidly create a model using the Model Describe IBM Cognos architecture at aCreate a consolidated modeling layer for Design Accelerator high levelpresentation purposes Work with Different Query Subject Types Define IBM Cognos groups and rolesConsolidate snowflake dimensions with Identify the effects on generated SQL Explain how to extend IBM Cognosmodel query subjects when modifying query subjects, SQL Identify Common Data StructuresSimplify facts by hiding unnecessary codes settings and relationships Examine relationships and cardinalityCalculations and Filters Set Security in Framework Manager Identify different data trapsUse static filters to reduce the data returned Restrict access to packages Examine dimensional data sourcesUse macros and parameters in calculations Create and apply security filters Gather Requirementsand filters to dynamically control the data Restrict access to objects in the model Define reporting requirementsreturned Create Analysis Objects Explore data sources to identify dataImplement a Time Dimension Define members and member unique access strategiesResolve confusion caused by multiple names Create a Baseline Projectrelationships between a time dimension and Identify changes that impact a MUN Define a project and its structureanother table Sort members for presentation and Describe the Framework ManagerSpecify Determinants predictability environmentCreate the Presentation View Manage OLAP Data Sources Create a baseline projectIdentify conformed vs. non-conformed Publish an OLAP model Enhance the model with additionaldimensions Publish a model with multiple OLAP data metadataCreate star schema groupings to provide sources Prepare Reusable Metadataauthors with logical groupings of query Publish a model with an OLAP data Examine relationships, and data trapssubjects source and a relational data source Verify relationships and query itemRapidly create a model using the Model Advanced Generated SQL Concepts and propertiesDesign Accelerator Complex Queries Ensure efficient filters by configuringWork with Different Query Subject Types Stitch query SQL prompt propertiesIdentify the effects on generated SQL when Conformed and non-conformed Model for Predictable Results: Identifymodifying query subjects, SQL settings and dimensions in generated SQL Reporting Issuesrelationships Multi-fact/multi-grain stitch query SQL Describe how IBM Cognos BI usesSet Security in Framework Manager Variances in Report Studio generated cardinalityRestrict access to packages SQL Identify reporting trapsCreate and apply security filters Dimensionally modeled relational SQL Use tools to analyze the modelRestrict access to objects in the model generation Model for Predictable Results: Virtual StarCreate Analysis Objects Cross join SQL SchemasDefine members and member unique names Various results sets for multi-fact queries Model in layersIdentify changes that impact a MUN Use Advanced Parameterization Create aliases to avoid ambiguous joinsSort members for presentation and Techniques in Framework Manger Merge query subjects to create as viewpredictability Leverage session, model, and custom behaviorManage OLAP Data Sources parameters Model for Predictable Results: ConsolidatePublish an OLAP model Create prompt macros MetadataPublish a model with multiple OLAP data Leverage macro functions associated Create virtual dimensions to resolvesources with security fact-to-fact joinsPublish a model with an OLAP data source Model Maintenance and Extensibility Create a consolidated modeling layer forand a relational data source Remap metadata to another source presentation purposesAdvanced Generated SQL Concepts and Import and link a second data source Consolidate snowflake dimensions withComplex Queries Run scripts to automate or update a model query subjectsStitch query SQL model Simplify facts by hiding unnecessary codesConformed and non-conformed dimensions Create a model report Calculations and Filters

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in generated SQL Optimize and Tune Framework Manager Use static filters to reduce the dataMulti-fact/multi-grain stitch query SQL Models returnedVariances in Report Studio generated SQL Use Dynamic Query Mode in Framework Use macros and parameters inDimensionally modeled relational SQL Manager calculations and filters to dynamicallygeneration Work in a Multi-Modeler Environment control the data returnedCross join SQL Branch a project and merge results Implement a Time DimensionVarious results sets for multi-fact queries Manage Framework Manager Packages Resolve confusion caused by multipleUse Advanced Parameterization Techniques Control model versioning relationships between a time dimensionin Framework Manger Nest packages and another tableLeverage session, model, and custom Appendix A: Employ Additional Modeling Specify Determinantsparameters Techniques Create the Presentation ViewCreate prompt macros Set the order of operations in a model Identify conformed vs. non-conformedLeverage macro functions associated with calculation dimensionssecurity Externalize query subjects Create star schema groupings to provideModel Maintenance and Extensibility Prepare IBM Cognos 10 content for use authors with logical groupings of queryRemap metadata to another source as a data source in Transformer subjectsImport and link a second data source Create query sets Rapidly create a model using the ModelRun scripts to automate or update a model Use external source control through Design AcceleratorCreate a model report Windows Explorer Work with Different Query Subject TypesOptimize and Tune Framework Manager Appendix B: Model Multilingual Metadata Identify the effects on generated SQLModels Appendix C: Additional Resources when modifying query subjects, SQLUse Dynamic Query Mode in Framework settings and relationshipsManager Set Security in Framework ManagerWork in a Multi-Modeler Environment line Restrict access to packagesBranch a project and merge results Describe IBM Cognos components Create and apply security filtersManage Framework Manager Packages Describe IBM Cognos architecture at a Restrict access to objects in the modelControl model versioning high level Create Analysis ObjectsNest packages Define IBM Cognos groups and roles Define members and member uniqueAppendix A: Employ Additional Modeling Explain how to extend IBM Cognos namesTechniques Identify Common Data Structures Identify changes that impact a MUNSet the order of operations in a model Examine relationships and cardinality Sort members for presentation andcalculation Identify different data traps predictabilityExternalize query subjects Examine dimensional data sources Manage OLAP Data SourcesPrepare IBM Cognos 10 content for use as a Gather Requirements Publish an OLAP modeldata source in Transformer Define reporting requirements Publish a model with multiple OLAP dataCreate query sets Explore data sources to identify data sourcesUse external source control through access strategies Publish a model with an OLAP data sourceWindows Explorer Create a Baseline Project and a relational data sourceAppendix B: Model Multilingual Metadata Define a project and its structure Advanced Generated SQL Concepts andAppendix C: Additional Resources Describe the Framework Manager Complex Queries

environment Stitch query SQLCreate a baseline project Conformed and non-conformed

line Enhance the model with additional dimensions in generated SQLDescribe IBM Cognos components metadata Multi-fact/multi-grain stitch query SQLDescribe IBM Cognos architecture at a high Prepare Reusable Metadata Variances in Report Studio generated SQLlevel Examine relationships, and data traps Dimensionally modeled relational SQLDefine IBM Cognos groups and roles Verify relationships and query item generationExplain how to extend IBM Cognos properties Cross join SQLIdentify Common Data Structures Ensure efficient filters by configuring Various results sets for multi-fact queriesExamine relationships and cardinality prompt properties Use Advanced ParameterizationIdentify different data traps Model for Predictable Results: Identify Techniques in Framework MangerExamine dimensional data sources Reporting Issues Leverage session, model, and customGather Requirements Describe how IBM Cognos BI uses parametersDefine reporting requirements cardinality Create prompt macrosExplore data sources to identify data access Identify reporting traps Leverage macro functions associated withstrategies Use tools to analyze the model securityCreate a Baseline Project Model for Predictable Results: Virtual Model Maintenance and ExtensibilityDefine a project and its structure Star Schemas Remap metadata to another sourceDescribe the Framework Manager Model in layers Import and link a second data sourceenvironment Create aliases to avoid ambiguous joins Run scripts to automate or update a modelCreate a baseline project Merge query subjects to create as view Create a model reportEnhance the model with additional metadata behavior Optimize and Tune Framework ManagerPrepare Reusable Metadata Model for Predictable Results: ModelsExamine relationships, and data traps Consolidate Metadata Use Dynamic Query Mode in FrameworkVerify relationships and query item Create virtual dimensions to resolve Managerproperties fact-to-fact joins Work in a Multi-Modeler Environment

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Ensure efficient filters by configuring prompt Create a consolidated modeling layer for Branch a project and merge resultsproperties presentation purposes Manage Framework Manager PackagesModel for Predictable Results: Identify Consolidate snowflake dimensions with Control model versioningReporting Issues model query subjects Nest packagesDescribe how IBM Cognos BI uses Simplify facts by hiding unnecessary Appendix A: Employ Additional Modelingcardinality codes TechniquesIdentify reporting traps Calculations and Filters Set the order of operations in a modelUse tools to analyze the model Use static filters to reduce the data calculationModel for Predictable Results: Virtual Star returned Externalize query subjectsSchemas Use macros and parameters in Prepare IBM Cognos 10 content for use asModel in layers calculations and filters to dynamically a data source in TransformerCreate aliases to avoid ambiguous joins control the data returned Create query setsMerge query subjects to create as view Implement a Time Dimension Use external source control throughbehavior Resolve confusion caused by multiple Windows ExplorerModel for Predictable Results: Consolidate relationships between a time dimension Appendix B: Model Multilingual MetadataMetadata and another table Appendix C: Additional ResourcesCreate virtual dimensions to resolve Specify Determinantsfact-to-fact joins Create the Presentation ViewCreate a consolidated modeling layer for Identify conformed vs. non-conformed linepresentation purposes dimensions Describe IBM Cognos componentsConsolidate snowflake dimensions with Create star schema groupings to provide Describe IBM Cognos architecture at amodel query subjects authors with logical groupings of query high levelSimplify facts by hiding unnecessary codes subjects Define IBM Cognos groups and rolesCalculations and Filters Rapidly create a model using the Model Explain how to extend IBM CognosUse static filters to reduce the data returned Design Accelerator Identify Common Data StructuresUse macros and parameters in calculations Work with Different Query Subject Types Examine relationships and cardinalityand filters to dynamically control the data Identify the effects on generated SQL Identify different data trapsreturned when modifying query subjects, SQL Examine dimensional data sourcesImplement a Time Dimension settings and relationships Gather RequirementsResolve confusion caused by multiple Set Security in Framework Manager Define reporting requirementsrelationships between a time dimension and Restrict access to packages Explore data sources to identify dataanother table Create and apply security filters access strategiesSpecify Determinants Restrict access to objects in the model Create a Baseline ProjectCreate the Presentation View Create Analysis Objects Define a project and its structureIdentify conformed vs. non-conformed Define members and member unique Describe the Framework Managerdimensions names environmentCreate star schema groupings to provide Identify changes that impact a MUN Create a baseline projectauthors with logical groupings of query Sort members for presentation and Enhance the model with additionalsubjects predictability metadataRapidly create a model using the Model Manage OLAP Data Sources Prepare Reusable MetadataDesign Accelerator Publish an OLAP model Examine relationships, and data trapsWork with Different Query Subject Types Publish a model with multiple OLAP data Verify relationships and query itemIdentify the effects on generated SQL when sources propertiesmodifying query subjects, SQL settings and Publish a model with an OLAP data Ensure efficient filters by configuringrelationships source and a relational data source prompt propertiesSet Security in Framework Manager Advanced Generated SQL Concepts and Model for Predictable Results: IdentifyRestrict access to packages Complex Queries Reporting IssuesCreate and apply security filters Stitch query SQL Describe how IBM Cognos BI usesRestrict access to objects in the model Conformed and non-conformed cardinalityCreate Analysis Objects dimensions in generated SQL Identify reporting trapsDefine members and member unique names Multi-fact/multi-grain stitch query SQL Use tools to analyze the modelIdentify changes that impact a MUN Variances in Report Studio generated Model for Predictable Results: Virtual StarSort members for presentation and SQL Schemaspredictability Dimensionally modeled relational SQL Model in layersManage OLAP Data Sources generation Create aliases to avoid ambiguous joinsPublish an OLAP model Cross join SQL Merge query subjects to create as viewPublish a model with multiple OLAP data Various results sets for multi-fact queries behaviorsources Use Advanced Parameterization Model for Predictable Results: ConsolidatePublish a model with an OLAP data source Techniques in Framework Manger Metadataand a relational data source Leverage session, model, and custom Create virtual dimensions to resolveAdvanced Generated SQL Concepts and parameters fact-to-fact joinsComplex Queries Create prompt macros Create a consolidated modeling layer forStitch query SQL Leverage macro functions associated presentation purposesConformed and non-conformed dimensions with security Consolidate snowflake dimensions within generated SQL Model Maintenance and Extensibility model query subjectsMulti-fact/multi-grain stitch query SQL Remap metadata to another source Simplify facts by hiding unnecessary codes

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Variances in Report Studio generated SQL Import and link a second data source Calculations and FiltersDimensionally modeled relational SQL Run scripts to automate or update a Use static filters to reduce the datageneration model returnedCross join SQL Create a model report Use macros and parameters inVarious results sets for multi-fact queries Optimize and Tune Framework Manager calculations and filters to dynamicallyUse Advanced Parameterization Techniques Models control the data returnedin Framework Manger Use Dynamic Query Mode in Framework Implement a Time DimensionLeverage session, model, and custom Manager Resolve confusion caused by multipleparameters Work in a Multi-Modeler Environment relationships between a time dimensionCreate prompt macros Branch a project and merge results and another tableLeverage macro functions associated with Manage Framework Manager Packages Specify Determinantssecurity Control model versioning Create the Presentation ViewModel Maintenance and Extensibility Nest packages Identify conformed vs. non-conformedRemap metadata to another source Appendix A: Employ Additional Modeling dimensionsImport and link a second data source Techniques Create star schema groupings to provideRun scripts to automate or update a model Set the order of operations in a model authors with logical groupings of queryCreate a model report calculation subjectsOptimize and Tune Framework Manager Externalize query subjects Rapidly create a model using the ModelModels Prepare IBM Cognos 10 content for use Design AcceleratorUse Dynamic Query Mode in Framework as a data source in Transformer Work with Different Query Subject TypesManager Create query sets Identify the effects on generated SQLWork in a Multi-Modeler Environment Use external source control through when modifying query subjects, SQLBranch a project and merge results Windows Explorer settings and relationshipsManage Framework Manager Packages Appendix B: Model Multilingual Metadata Set Security in Framework ManagerControl model versioning Appendix C: Additional Resources Restrict access to packagesNest packages Create and apply security filtersAppendix A: Employ Additional Modeling Restrict access to objects in the modelTechniques line Create Analysis ObjectsSet the order of operations in a model Describe IBM Cognos components Define members and member uniquecalculation Describe IBM Cognos architecture at a namesExternalize query subjects high level Identify changes that impact a MUNPrepare IBM Cognos 10 content for use as a Define IBM Cognos groups and roles Sort members for presentation anddata source in Transformer Explain how to extend IBM Cognos predictabilityCreate query sets Identify Common Data Structures Manage OLAP Data SourcesUse external source control through Examine relationships and cardinality Publish an OLAP modelWindows Explorer Identify different data traps Publish a model with multiple OLAP dataAppendix B: Model Multilingual Metadata Examine dimensional data sources sourcesAppendix C: Additional Resources Gather Requirements Publish a model with an OLAP data source

Define reporting requirements and a relational data sourceExplore data sources to identify data Advanced Generated SQL Concepts and

line access strategies Complex QueriesDescribe IBM Cognos components Create a Baseline Project Stitch query SQLDescribe IBM Cognos architecture at a high Define a project and its structure Conformed and non-conformedlevel Describe the Framework Manager dimensions in generated SQLDefine IBM Cognos groups and roles environment Multi-fact/multi-grain stitch query SQLExplain how to extend IBM Cognos Create a baseline project Variances in Report Studio generated SQLIdentify Common Data Structures Enhance the model with additional Dimensionally modeled relational SQLExamine relationships and cardinality metadata generationIdentify different data traps Prepare Reusable Metadata Cross join SQLExamine dimensional data sources Examine relationships, and data traps Various results sets for multi-fact queriesGather Requirements Verify relationships and query item Use Advanced ParameterizationDefine reporting requirements properties Techniques in Framework MangerExplore data sources to identify data access Ensure efficient filters by configuring Leverage session, model, and customstrategies prompt properties parametersCreate a Baseline Project Model for Predictable Results: Identify Create prompt macrosDefine a project and its structure Reporting Issues Leverage macro functions associated withDescribe the Framework Manager Describe how IBM Cognos BI uses securityenvironment cardinality Model Maintenance and ExtensibilityCreate a baseline project Identify reporting traps Remap metadata to another sourceEnhance the model with additional metadata Use tools to analyze the model Import and link a second data sourcePrepare Reusable Metadata Model for Predictable Results: Virtual Run scripts to automate or update a modelExamine relationships, and data traps Star Schemas Create a model reportVerify relationships and query item Model in layers Optimize and Tune Framework Managerproperties Create aliases to avoid ambiguous joins ModelsEnsure efficient filters by configuring prompt Merge query subjects to create as view Use Dynamic Query Mode in Frameworkproperties behavior Manager

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Model for Predictable Results: Identify Model for Predictable Results: Work in a Multi-Modeler EnvironmentReporting Issues Consolidate Metadata Branch a project and merge resultsDescribe how IBM Cognos BI uses Create virtual dimensions to resolve Manage Framework Manager Packagescardinality fact-to-fact joins Control model versioningIdentify reporting traps Create a consolidated modeling layer for Nest packagesUse tools to analyze the model presentation purposes Appendix A: Employ Additional ModelingModel for Predictable Results: Virtual Star Consolidate snowflake dimensions with TechniquesSchemas model query subjects Set the order of operations in a modelModel in layers Simplify facts by hiding unnecessary calculationCreate aliases to avoid ambiguous joins codes Externalize query subjectsMerge query subjects to create as view Calculations and Filters Prepare IBM Cognos 10 content for use asbehavior Use static filters to reduce the data a data source in TransformerModel for Predictable Results: Consolidate returned Create query setsMetadata Use macros and parameters in Use external source control throughCreate virtual dimensions to resolve calculations and filters to dynamically Windows Explorerfact-to-fact joins control the data returned Appendix B: Model Multilingual MetadataCreate a consolidated modeling layer for Implement a Time Dimension Appendix C: Additional Resourcespresentation purposes Resolve confusion caused by multipleConsolidate snowflake dimensions with relationships between a time dimensionmodel query subjects and another table lineSimplify facts by hiding unnecessary codes Specify Determinants Discuss IBM Cognos and PerformanceCalculations and Filters Create the Presentation View ManagementUse static filters to reduce the data returned Identify conformed vs. non-conformed Examine the characteristics of operationalUse macros and parameters in calculations dimensions databases and databases designed forand filters to dynamically control the data Create star schema groupings to provide reportingreturned authors with logical groupings of query Examine key modeling recommendationsImplement a Time Dimension subjects Examine the IBM Cognos BI andResolve confusion caused by multiple Rapidly create a model using the Model Framework Manager workflow processesrelationships between a time dimension and Design Accelerator Identify facts and dimensionsanother table Work with Different Query Subject Types Describe multi-fact queries and when fullSpecify Determinants Identify the effects on generated SQL outer joins are appropriateCreate the Presentation View when modifying query subjects, SQL Identify the advantages of modelingIdentify conformed vs. non-conformed settings and relationships metadata as a star schemadimensions Set Security in Framework Manager Create virtual facts to simplify writingCreate star schema groupings to provide Restrict access to packages queriesauthors with logical groupings of query Create and apply security filters Use calculations to createsubjects Restrict access to objects in the model commonly-needed query items for authorsRapidly create a model using the Model Create Analysis Objects Make time-based queries simple to authorDesign Accelerator Define members and member unique by implementing a time dimensionWork with Different Query Subject Types names Use determinants to specify multiple levelsIdentify the effects on generated SQL when Identify changes that impact a MUN of granularity and prevent double-countingmodifying query subjects, SQL settings and Sort members for presentation and Identify the dimensions associated with arelationships predictability fact tableSet Security in Framework Manager Manage OLAP Data Sources Identify key differences andRestrict access to packages Publish an OLAP model recommendations for using data source,Create and apply security filters Publish a model with multiple OLAP data model, and stored procedure queryRestrict access to objects in the model sources subjectsCreate Analysis Objects Publish a model with an OLAP data Examine the IBM Cognos BI securityDefine members and member unique names source and a relational data source environmentIdentify changes that impact a MUN Advanced Generated SQL Concepts and Apply dimensional information to relationalSort members for presentation and Complex Queries Metadata to enable OLAP-style queriespredictability Stitch query SQL Connect to an OLAP data source (cube) inManage OLAP Data Sources Conformed and non-conformed a Framework Manager projectPublish an OLAP model dimensions in generated SQL Governors that affect SQL generationPublish a model with multiple OLAP data Multi-fact/multi-grain stitch query SQL Identify environment and model sessionsources Variances in Report Studio generated parametersPublish a model with an OLAP data source SQL Perform basic maintenance andand a relational data source Dimensionally modeled relational SQL management on a modelAdvanced Generated SQL Concepts and generation Identify and implement techniques toComplex Queries Cross join SQL optimize and tune your FrameworkStitch query SQL Various results sets for multi-fact queries Manager modelsConformed and non-conformed dimensions Use Advanced Parameterization Segment and link a projectin generated SQL Techniques in Framework Manger Specify package languages and functionMulti-fact/multi-grain stitch query SQL Leverage session, model, and custom setsVariances in Report Studio generated SQL parameters Leverage a user defined functionDimensionally modeled relational SQL Create prompt macros Customize metadata for a multilingual

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generation Leverage macro functions associated audienceCross join SQL with security Links to sites where the customer can findVarious results sets for multi-fact queries Model Maintenance and Extensibility more information about course-relatedUse Advanced Parameterization Techniques Remap metadata to another source material.in Framework Manger Import and link a second data sourceLeverage session, model, and custom Run scripts to automate or update aparameters model lineCreate prompt macros Create a model report Describe IBM Cognos componentsLeverage macro functions associated with Optimize and Tune Framework Manager Describe IBM Cognos architecture at asecurity Models high levelModel Maintenance and Extensibility Use Dynamic Query Mode in Framework Define IBM Cognos groups and rolesRemap metadata to another source Manager Explain how to extend IBM CognosImport and link a second data source Work in a Multi-Modeler Environment Identify Common Data StructuresRun scripts to automate or update a model Branch a project and merge results Examine relationships and cardinalityCreate a model report Manage Framework Manager Packages Identify different data trapsOptimize and Tune Framework Manager Control model versioning Examine dimensional data sourcesModels Nest packages Gather RequirementsUse Dynamic Query Mode in Framework Appendix A: Employ Additional Modeling Define reporting requirementsManager Techniques Explore data sources to identify dataWork in a Multi-Modeler Environment Set the order of operations in a model access strategiesBranch a project and merge results calculation Create a Baseline ProjectManage Framework Manager Packages Externalize query subjects Define a project and its structureControl model versioning Prepare IBM Cognos 10 content for use Describe the Framework ManagerNest packages as a data source in Transformer environmentAppendix A: Employ Additional Modeling Create query sets Create a baseline projectTechniques Use external source control through Enhance the model with additionalSet the order of operations in a model Windows Explorer metadatacalculation Appendix B: Model Multilingual Metadata Prepare Reusable MetadataExternalize query subjects Appendix C: Additional Resources Examine relationships, and data trapsPrepare IBM Cognos 10 content for use as a Verify relationships and query itemdata source in Transformer propertiesCreate query sets line Ensure efficient filters by configuringUse external source control through Describe IBM Cognos components prompt propertiesWindows Explorer Describe IBM Cognos architecture at a Model for Predictable Results: IdentifyAppendix B: Model Multilingual Metadata high level Reporting IssuesAppendix C: Additional Resources Define IBM Cognos groups and roles Describe how IBM Cognos BI uses

Explain how to extend IBM Cognos cardinalityIdentify Common Data Structures Identify reporting traps

line Examine relationships and cardinality Use tools to analyze the modelDiscuss IBM Cognos and Performance Identify different data traps Model for Predictable Results: Virtual StarManagement Examine dimensional data sources SchemasExamine the characteristics of operational Gather Requirements Model in layersdatabases and databases designed for Define reporting requirements Create aliases to avoid ambiguous joinsreporting Explore data sources to identify data Merge query subjects to create as viewExamine key modeling recommendations access strategies behaviorExamine the IBM Cognos BI and Framework Create a Baseline Project Model for Predictable Results: ConsolidateManager workflow processes Define a project and its structure MetadataIdentify facts and dimensions Describe the Framework Manager Create virtual dimensions to resolveDescribe multi-fact queries and when full environment fact-to-fact joinsouter joins are appropriate Create a baseline project Create a consolidated modeling layer forIdentify the advantages of modeling Enhance the model with additional presentation purposesmetadata as a star schema metadata Consolidate snowflake dimensions withCreate virtual facts to simplify writing queries Prepare Reusable Metadata model query subjectsUse calculations to create Examine relationships, and data traps Simplify facts by hiding unnecessary codescommonly-needed query items for authors Verify relationships and query item Calculations and FiltersMake time-based queries simple to author properties Use static filters to reduce the databy implementing a time dimension Ensure efficient filters by configuring returnedUse determinants to specify multiple levels prompt properties Use macros and parameters inof granularity and prevent double-counting Model for Predictable Results: Identify calculations and filters to dynamicallyIdentify the dimensions associated with a Reporting Issues control the data returnedfact table Describe how IBM Cognos BI uses Implement a Time DimensionIdentify key differences and cardinality Resolve confusion caused by multiplerecommendations for using data source, Identify reporting traps relationships between a time dimensionmodel, and stored procedure query subjects Use tools to analyze the model and another tableExamine the IBM Cognos BI security Model for Predictable Results: Virtual Specify Determinantsenvironment Star Schemas Create the Presentation View

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Apply dimensional information to relational Model in layers Identify conformed vs. non-conformedMetadata to enable OLAP-style queries Create aliases to avoid ambiguous joins dimensionsConnect to an OLAP data source (cube) in a Merge query subjects to create as view Create star schema groupings to provideFramework Manager project behavior authors with logical groupings of queryGovernors that affect SQL generation Model for Predictable Results: subjectsIdentify environment and model session Consolidate Metadata Rapidly create a model using the Modelparameters Create virtual dimensions to resolve Design AcceleratorPerform basic maintenance and fact-to-fact joins Work with Different Query Subject Typesmanagement on a model Create a consolidated modeling layer for Identify the effects on generated SQLIdentify and implement techniques to presentation purposes when modifying query subjects, SQLoptimize and tune your Framework Manager Consolidate snowflake dimensions with settings and relationshipsmodels model query subjects Set Security in Framework ManagerSegment and link a project Simplify facts by hiding unnecessary Restrict access to packagesSpecify package languages and function codes Create and apply security filterssets Calculations and Filters Restrict access to objects in the modelLeverage a user defined function Use static filters to reduce the data Create Analysis ObjectsCustomize metadata for a multilingual returned Define members and member uniqueaudience Use macros and parameters in namesLinks to sites where the customer can find calculations and filters to dynamically Identify changes that impact a MUNmore information about course-related control the data returned Sort members for presentation andmaterial. Implement a Time Dimension predictability

Resolve confusion caused by multiple Manage OLAP Data Sourcesrelationships between a time dimension Publish an OLAP model

line and another table Publish a model with multiple OLAP dataDescribe IBM Cognos components Specify Determinants sourcesDescribe IBM Cognos architecture at a high Create the Presentation View Publish a model with an OLAP data sourcelevel Identify conformed vs. non-conformed and a relational data sourceDefine IBM Cognos groups and roles dimensions Advanced Generated SQL Concepts andExplain how to extend IBM Cognos Create star schema groupings to provide Complex QueriesIdentify Common Data Structures authors with logical groupings of query Stitch query SQLExamine relationships and cardinality subjects Conformed and non-conformedIdentify different data traps Rapidly create a model using the Model dimensions in generated SQLExamine dimensional data sources Design Accelerator Multi-fact/multi-grain stitch query SQLGather Requirements Work with Different Query Subject Types Variances in Report Studio generated SQLDefine reporting requirements Identify the effects on generated SQL Dimensionally modeled relational SQLExplore data sources to identify data access when modifying query subjects, SQL generationstrategies settings and relationships Cross join SQLCreate a Baseline Project Set Security in Framework Manager Various results sets for multi-fact queriesDefine a project and its structure Restrict access to packages Use Advanced ParameterizationDescribe the Framework Manager Create and apply security filters Techniques in Framework Mangerenvironment Restrict access to objects in the model Leverage session, model, and customCreate a baseline project Create Analysis Objects parametersEnhance the model with additional metadata Define members and member unique Create prompt macrosPrepare Reusable Metadata names Leverage macro functions associated withExamine relationships, and data traps Identify changes that impact a MUN securityVerify relationships and query item Sort members for presentation and Model Maintenance and Extensibilityproperties predictability Remap metadata to another sourceEnsure efficient filters by configuring prompt Manage OLAP Data Sources Import and link a second data sourceproperties Publish an OLAP model Run scripts to automate or update a modelModel for Predictable Results: Identify Publish a model with multiple OLAP data Create a model reportReporting Issues sources Optimize and Tune Framework ManagerDescribe how IBM Cognos BI uses Publish a model with an OLAP data Modelscardinality source and a relational data source Use Dynamic Query Mode in FrameworkIdentify reporting traps Advanced Generated SQL Concepts and ManagerUse tools to analyze the model Complex Queries Work in a Multi-Modeler EnvironmentModel for Predictable Results: Virtual Star Stitch query SQL Branch a project and merge resultsSchemas Conformed and non-conformed Manage Framework Manager PackagesModel in layers dimensions in generated SQL Control model versioningCreate aliases to avoid ambiguous joins Multi-fact/multi-grain stitch query SQL Nest packagesMerge query subjects to create as view Variances in Report Studio generated Appendix A: Employ Additional Modelingbehavior SQL TechniquesModel for Predictable Results: Consolidate Dimensionally modeled relational SQL Set the order of operations in a modelMetadata generation calculationCreate virtual dimensions to resolve Cross join SQL Externalize query subjectsfact-to-fact joins Various results sets for multi-fact queries Prepare IBM Cognos 10 content for use asCreate a consolidated modeling layer for Use Advanced Parameterization a data source in Transformer

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presentation purposes Techniques in Framework Manger Create query setsConsolidate snowflake dimensions with Leverage session, model, and custom Use external source control throughmodel query subjects parameters Windows ExplorerSimplify facts by hiding unnecessary codes Create prompt macros Appendix B: Model Multilingual MetadataCalculations and Filters Leverage macro functions associated Appendix C: Additional ResourcesUse static filters to reduce the data returned with securityUse macros and parameters in calculations Model Maintenance and Extensibilityand filters to dynamically control the data Remap metadata to another source linereturned Import and link a second data source Discuss IBM Cognos and PerformanceImplement a Time Dimension Run scripts to automate or update a ManagementResolve confusion caused by multiple model Examine the characteristics of operationalrelationships between a time dimension and Create a model report databases and databases designed foranother table Optimize and Tune Framework Manager reportingSpecify Determinants Models Examine key modeling recommendationsCreate the Presentation View Use Dynamic Query Mode in Framework Examine the IBM Cognos BI andIdentify conformed vs. non-conformed Manager Framework Manager workflow processesdimensions Work in a Multi-Modeler Environment Identify facts and dimensionsCreate star schema groupings to provide Branch a project and merge results Describe multi-fact queries and when fullauthors with logical groupings of query Manage Framework Manager Packages outer joins are appropriatesubjects Control model versioning Identify the advantages of modelingRapidly create a model using the Model Nest packages metadata as a star schemaDesign Accelerator Appendix A: Employ Additional Modeling Create virtual facts to simplify writingWork with Different Query Subject Types Techniques queriesIdentify the effects on generated SQL when Set the order of operations in a model Use calculations to createmodifying query subjects, SQL settings and calculation commonly-needed query items for authorsrelationships Externalize query subjects Make time-based queries simple to authorSet Security in Framework Manager Prepare IBM Cognos 10 content for use by implementing a time dimensionRestrict access to packages as a data source in Transformer Use determinants to specify multiple levelsCreate and apply security filters Create query sets of granularity and prevent double-countingRestrict access to objects in the model Use external source control through Identify the dimensions associated with aCreate Analysis Objects Windows Explorer fact tableDefine members and member unique names Appendix B: Model Multilingual Metadata Identify key differences andIdentify changes that impact a MUN Appendix C: Additional Resources recommendations for using data source,Sort members for presentation and model, and stored procedure querypredictability subjectsManage OLAP Data Sources line Examine the IBM Cognos BI securityPublish an OLAP model Discuss IBM Cognos and Performance environmentPublish a model with multiple OLAP data Management Apply dimensional information to relationalsources Examine the characteristics of Metadata to enable OLAP-style queriesPublish a model with an OLAP data source operational databases and databases Connect to an OLAP data source (cube) inand a relational data source designed for reporting a Framework Manager projectAdvanced Generated SQL Concepts and Examine key modeling recommendations Governors that affect SQL generationComplex Queries Examine the IBM Cognos BI and Identify environment and model sessionStitch query SQL Framework Manager workflow processes parametersConformed and non-conformed dimensions Identify facts and dimensions Perform basic maintenance andin generated SQL Describe multi-fact queries and when full management on a modelMulti-fact/multi-grain stitch query SQL outer joins are appropriate Identify and implement techniques toVariances in Report Studio generated SQL Identify the advantages of modeling optimize and tune your FrameworkDimensionally modeled relational SQL metadata as a star schema Manager modelsgeneration Create virtual facts to simplify writing Segment and link a projectCross join SQL queries Specify package languages and functionVarious results sets for multi-fact queries Use calculations to create setsUse Advanced Parameterization Techniques commonly-needed query items for Leverage a user defined functionin Framework Manger authors Customize metadata for a multilingualLeverage session, model, and custom Make time-based queries simple to audienceparameters author by implementing a time dimension Links to sites where the customer can findCreate prompt macros Use determinants to specify multiple more information about course-relatedLeverage macro functions associated with levels of granularity and prevent material.security double-countingModel Maintenance and Extensibility Identify the dimensions associated with aRemap metadata to another source fact tableImport and link a second data source Identify key differences andRun scripts to automate or update a model recommendations for using data source,Create a model report model, and stored procedure queryOptimize and Tune Framework Manager subjectsModels Examine the IBM Cognos BI security

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Use Dynamic Query Mode in Framework environmentManager Apply dimensional information toWork in a Multi-Modeler Environment relational Metadata to enable OLAP-styleBranch a project and merge results queriesManage Framework Manager Packages Connect to an OLAP data source (cube)Control model versioning in a Framework Manager projectNest packages Governors that affect SQL generationAppendix A: Employ Additional Modeling Identify environment and model sessionTechniques parametersSet the order of operations in a model Perform basic maintenance andcalculation management on a modelExternalize query subjects Identify and implement techniques toPrepare IBM Cognos 10 content for use as a optimize and tune your Frameworkdata source in Transformer Manager modelsCreate query sets Segment and link a projectUse external source control through Specify package languages and functionWindows Explorer setsAppendix B: Model Multilingual Metadata Leverage a user defined functionAppendix C: Additional Resources Customize metadata for a multilingual

audienceLinks to sites where the customer can

line find more information aboutDescribe IBM Cognos components course-related material.Describe IBM Cognos architecture at a highlevelDefine IBM Cognos groups and roles lineExplain how to extend IBM Cognos Describe IBM Cognos componentsIdentify Common Data Structures Describe IBM Cognos architecture at aExamine relationships and cardinality high levelIdentify different data traps Define IBM Cognos groups and rolesExamine dimensional data sources Explain how to extend IBM CognosGather Requirements Identify Common Data StructuresDefine reporting requirements Examine relationships and cardinalityExplore data sources to identify data access Identify different data trapsstrategies Examine dimensional data sourcesCreate a Baseline Project Gather RequirementsDefine a project and its structure Define reporting requirementsDescribe the Framework Manager Explore data sources to identify dataenvironment access strategiesCreate a baseline project Create a Baseline ProjectEnhance the model with additional metadata Define a project and its structurePrepare Reusable Metadata Describe the Framework ManagerExamine relationships, and data traps environmentVerify relationships and query item Create a baseline projectproperties Enhance the model with additionalEnsure efficient filters by configuring prompt metadataproperties Prepare Reusable MetadataModel for Predictable Results: Identify Examine relationships, and data trapsReporting Issues Verify relationships and query itemDescribe how IBM Cognos BI uses propertiescardinality Ensure efficient filters by configuringIdentify reporting traps prompt propertiesUse tools to analyze the model Model for Predictable Results: IdentifyModel for Predictable Results: Virtual Star Reporting IssuesSchemas Describe how IBM Cognos BI usesModel in layers cardinalityCreate aliases to avoid ambiguous joins Identify reporting trapsMerge query subjects to create as view Use tools to analyze the modelbehavior Model for Predictable Results: VirtualModel for Predictable Results: Consolidate Star SchemasMetadata Model in layersCreate virtual dimensions to resolve Create aliases to avoid ambiguous joinsfact-to-fact joins Merge query subjects to create as viewCreate a consolidated modeling layer for behaviorpresentation purposes Model for Predictable Results:Consolidate snowflake dimensions with Consolidate Metadata

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model query subjects Create virtual dimensions to resolveSimplify facts by hiding unnecessary codes fact-to-fact joinsCalculations and Filters Create a consolidated modeling layer forUse static filters to reduce the data returned presentation purposesUse macros and parameters in calculations Consolidate snowflake dimensions withand filters to dynamically control the data model query subjectsreturned Simplify facts by hiding unnecessaryImplement a Time Dimension codesResolve confusion caused by multiple Calculations and Filtersrelationships between a time dimension and Use static filters to reduce the dataanother table returnedSpecify Determinants Use macros and parameters inCreate the Presentation View calculations and filters to dynamicallyIdentify conformed vs. non-conformed control the data returneddimensions Implement a Time DimensionCreate star schema groupings to provide Resolve confusion caused by multipleauthors with logical groupings of query relationships between a time dimensionsubjects and another tableRapidly create a model using the Model Specify DeterminantsDesign Accelerator Create the Presentation ViewWork with Different Query Subject Types Identify conformed vs. non-conformedIdentify the effects on generated SQL when dimensionsmodifying query subjects, SQL settings and Create star schema groupings to providerelationships authors with logical groupings of querySet Security in Framework Manager subjectsRestrict access to packages Rapidly create a model using the ModelCreate and apply security filters Design AcceleratorRestrict access to objects in the model Work with Different Query Subject TypesCreate Analysis Objects Identify the effects on generated SQLDefine members and member unique names when modifying query subjects, SQLIdentify changes that impact a MUN settings and relationshipsSort members for presentation and Set Security in Framework Managerpredictability Restrict access to packagesManage OLAP Data Sources Create and apply security filtersPublish an OLAP model Restrict access to objects in the modelPublish a model with multiple OLAP data Create Analysis Objectssources Define members and member uniquePublish a model with an OLAP data source namesand a relational data source Identify changes that impact a MUNAdvanced Generated SQL Concepts and Sort members for presentation andComplex Queries predictabilityStitch query SQL Manage OLAP Data SourcesConformed and non-conformed dimensions Publish an OLAP modelin generated SQL Publish a model with multiple OLAP dataMulti-fact/multi-grain stitch query SQL sourcesVariances in Report Studio generated SQL Publish a model with an OLAP dataDimensionally modeled relational SQL source and a relational data sourcegeneration Advanced Generated SQL Concepts andCross join SQL Complex QueriesVarious results sets for multi-fact queries Stitch query SQLUse Advanced Parameterization Techniques Conformed and non-conformedin Framework Manger dimensions in generated SQLLeverage session, model, and custom Multi-fact/multi-grain stitch query SQLparameters Variances in Report Studio generatedCreate prompt macros SQLLeverage macro functions associated with Dimensionally modeled relational SQLsecurity generationModel Maintenance and Extensibility Cross join SQLRemap metadata to another source Various results sets for multi-fact queriesImport and link a second data source Use Advanced ParameterizationRun scripts to automate or update a model Techniques in Framework MangerCreate a model report Leverage session, model, and customOptimize and Tune Framework Manager parametersModels Create prompt macrosUse Dynamic Query Mode in Framework Leverage macro functions associatedManager with security

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Work in a Multi-Modeler Environment Model Maintenance and ExtensibilityBranch a project and merge results Remap metadata to another sourceManage Framework Manager Packages Import and link a second data sourceControl model versioning Run scripts to automate or update aNest packages modelAppendix A: Employ Additional Modeling Create a model reportTechniques Optimize and Tune Framework ManagerSet the order of operations in a model Modelscalculation Use Dynamic Query Mode in FrameworkExternalize query subjects ManagerPrepare IBM Cognos 10 content for use as a Work in a Multi-Modeler Environmentdata source in Transformer Branch a project and merge resultsCreate query sets Manage Framework Manager PackagesUse external source control through Control model versioningWindows Explorer Nest packagesAppendix B: Model Multilingual Metadata Appendix A: Employ Additional ModelingAppendix C: Additional Resources Techniques

Set the order of operations in a modelcalculationExternalize query subjectsPrepare IBM Cognos 10 content for useas a data source in TransformerCreate query setsUse external source control throughWindows ExplorerAppendix B: Model Multilingual MetadataAppendix C: Additional Resources

lineDescribe IBM Cognos componentsDescribe IBM Cognos architecture at ahigh levelDefine IBM Cognos groups and rolesExplain how to extend IBM CognosIdentify Common Data StructuresExamine relationships and cardinalityIdentify different data trapsExamine dimensional data sourcesGather RequirementsDefine reporting requirementsExplore data sources to identify dataaccess strategiesCreate a Baseline ProjectDefine a project and its structureDescribe the Framework ManagerenvironmentCreate a baseline projectEnhance the model with additionalmetadataPrepare Reusable MetadataExamine relationships, and data trapsVerify relationships and query itempropertiesEnsure efficient filters by configuringprompt propertiesModel for Predictable Results: IdentifyReporting IssuesDescribe how IBM Cognos BI usescardinalityIdentify reporting trapsUse tools to analyze the modelModel for Predictable Results: VirtualStar SchemasModel in layersCreate aliases to avoid ambiguous joins

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Merge query subjects to create as viewbehaviorModel for Predictable Results:Consolidate MetadataCreate virtual dimensions to resolvefact-to-fact joinsCreate a consolidated modeling layer forpresentation purposesConsolidate snowflake dimensions withmodel query subjectsSimplify facts by hiding unnecessarycodesCalculations and FiltersUse static filters to reduce the datareturnedUse macros and parameters incalculations and filters to dynamicallycontrol the data returnedImplement a Time DimensionResolve confusion caused by multiplerelationships between a time dimensionand another tableSpecify DeterminantsCreate the Presentation ViewIdentify conformed vs. non-conformeddimensionsCreate star schema groupings to provideauthors with logical groupings of querysubjectsRapidly create a model using the ModelDesign AcceleratorWork with Different Query Subject TypesIdentify the effects on generated SQLwhen modifying query subjects, SQLsettings and relationshipsSet Security in Framework ManagerRestrict access to packagesCreate and apply security filtersRestrict access to objects in the modelCreate Analysis ObjectsDefine members and member uniquenamesIdentify changes that impact a MUNSort members for presentation andpredictabilityManage OLAP Data SourcesPublish an OLAP modelPublish a model with multiple OLAP datasourcesPublish a model with an OLAP datasource and a relational data sourceAdvanced Generated SQL Concepts andComplex QueriesStitch query SQLConformed and non-conformeddimensions in generated SQLMulti-fact/multi-grain stitch query SQLVariances in Report Studio generatedSQLDimensionally modeled relational SQLgenerationCross join SQLVarious results sets for multi-fact queriesUse Advanced ParameterizationTechniques in Framework MangerLeverage session, model, and custom

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parametersCreate prompt macrosLeverage macro functions associatedwith securityModel Maintenance and ExtensibilityRemap metadata to another sourceImport and link a second data sourceRun scripts to automate or update amodelCreate a model reportOptimize and Tune Framework ManagerModelsUse Dynamic Query Mode in FrameworkManagerWork in a Multi-Modeler EnvironmentBranch a project and merge resultsManage Framework Manager PackagesControl model versioningNest packagesAppendix A: Employ Additional ModelingTechniquesSet the order of operations in a modelcalculationExternalize query subjectsPrepare IBM Cognos 10 content for useas a data source in TransformerCreate query setsUse external source control throughWindows ExplorerAppendix B: Model Multilingual MetadataAppendix C: Additional Resources

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