Metadata Based Impact andLineage Analysis Across HeterogeneousMetadata Sources
Presentation at theTHE 9TH ANNUAL Wilshire Meta-Data ConferenceAND THE 17TH ANNUAL DAMA International SymposiumbyJohn R. Friedrich, II, [email protected]
Slide 2 or 4125 May 2005
Outline
• Concepts• Harvesting• Mapping• Reporting• Version and Configuration Management• Metadata Management Strategy• Standardization• Proof of Concept• Conclusion
Slide 3 or 4125 May 2005
Caveat
• This presentation is based upon consulting engagements with MetaIntegration Technologies, Inc. (MITI) and facilitated using their tools and methods.
• Meta Integration is the leading "Metadata Component Provider" to major database, data integration, business intelligence, repository, and modeling tool vendors. Meta Integration® OEM components & tools manage and analyze the complete enterprise metadata life cycle across heterogeneous vendors. Solutions range from reusable metadata movement components to repository. Over 50 Model Bridges integrate standards like CWM, and the most popular modeling, ETL/EII, and OLAP/BI tools.
• The Meta Integration components may be found already integrated with its partners’ tools including the Adaptive Repository, Cognos ReportNet, Embarcadero ERStudio, Informatica Power Center and SuperGlue, and more in the future.
• All other trademarks, trade names, service marks, and logos referenced herein belong to their respective companies.
Slide 4 or 4125 May 2005
Concepts
Data Sources
Data Sources
Data Sources
ApplicationsApplications
Applications
ERP Solution
Data Warehouse
Data MartData Mart
Data Mart
Enterprise Application Integration
Business Intelligence Reporting
OLAP CubesOLAP Cubes
ETL
ETL
ETLETL
ETL OLAP CubesStaging
Data FeedsData
Feeds
Data FeedsData
Feeds
Data FeedsData
Feeds
Process & Code
Models
Data Specs
Data Schemas
Mappings
ProcessMetadata
EAI RepositoryETL Repository
Data Schemas
X-froms
ProcessMetadata
EAI Repository
Data Specs
Data Specs
Data Specs
Data Schemas
Mappings
Cubes, Joins, etc.
Message Schema XML
Schema
CASE Design Software
CASE Repository
CASE Design SoftwareCASE Design
Software
CASE RepositoryCASE
Repository
Process & Code
Models Data Models
Slide 5 or 4125 May 2005
Reporting / Business Intelligence
Data WarehouseETLSource Systems
MetaData
CM
Computer Aided Software Engineering
Extract Transform and Load
Development
Business Intelligence Design and Reporting
Data SourcesData Sources
Data Sources
ApplicationsApplications
Data Warehouse
Data Mart
BI Reporting
ETL
OLAP Cube
Staging
ETL Repository
EAI Repository
ETL Engine
Computer Aided Software Engineering
BI DesignETL Design
CASE Repository
CASE Design
Forward/ReverseEngineering
CASE Design
CASE Repository
Forward/ReverseEngineering
Source Data Schemas
Mappings LifecycleMetadata
Data Schemas
Mappings
Cubes, Joins, etc.
Process & Code
Models
Data Models
Target Data Schemas
Staging Data
Models
DW Data Models
Mapping
Mapping Mapping
Slide 6 or 4125 May 2005
Business Intelligence
Data Mart
OLAP Cube
Data Warehouse
Data Warehouse
StagingRDBMSMigrate / Replicate
ETL
Staging Target
AP RDBMS
AR RDBMS
WS-API
XML
Source Systems / ODS
GL
APAR
Accts Rcv’l
Finance
Accts Pay
Data Feeds
XML API
WSAPI
Meta-Data Repository
Business Intelligence Design and Reporting
ReportNet
Cognos Repository
FrameworkManager
StagingData
Model
XML Models
AR Model
AR Model
GL Model
WS-API Model
Computer Aided Software Engineering
Model Mart
ERwin Rose
Forward / Reverse Engineering
Data M
ovement M
apping
XML ETL Source
ETL Process Metadata
AR ETL Source
AP ETL Source
WS ETL Source
ETLTarget
RDBMSSchema
Data M
ovement M
apping
WarehouseData
Model
StandardsMapping
Standard Finance Logical ModelStandards Mapping Standards Mapping
Data M
ovement M
apping
ETL Tool Mappings
Data M
ovement M
apping
BISource
RDBMSSchema
BI Cube
Reports
Views
Queries
Dims
BI Tool M
appings
Meta-Data BridgesDTD/XSD ER1 MDL XMI PDM XMI
Extract Transform and Load Development
Informatica Repository
InformaticaETL Engine
Designer
Computer Aided
Software Engineering
PowerDesigner
Forward/ReverseEngineering
RDBMSAdmin
SQLAdmin
Slide 7 or 4125 May 2005
Harvesting
• Metadata survey• Source/Target survey• Data process survey• Reference and standards survey
• Metadata exchange methodology• Repository Structure• Extraction
Slide 8 or 4125 May 2005
Meta-Data Repositoryh
XML Models
AR Model
AR Model
GL Model
WS-API Model
XML ETL Source
ETL Process Metadata
AR ETL Source
AP ETL Source
WS ETL Source
ETLTarget
RDBMSSchema
WarehouseData
Model
BISource
RDBMSSchema
BI Cube
Reports
Views
Queries
Dims
BI Tool M
appingsStaging
DataModel
Meta-Data BridgesDTD/XSD ER1 MDL XMI PDM XMI
Business Intelligence
Data Mart
OLAP Cube
Data Warehouse
Data Warehouse
StagingRDBMSMigrate / Replicate
ETL
Staging Target
AP RDBMS
AR RDBMS
WS-API
XML
Source Systems / ODS
GL
APAR
Accts Rcv’l
Finance
Accts Pay
Data Feeds
XML API
WSAPI
Business Intelligence Design and Reporting
ReportNet
Cognos Repository
FrameworkManager
Computer Aided Software Engineering
Model Mart
ERwin Rose
Forward / Reverse Engineering
Extract Transform and Load Development
Informatica Repository
InformaticaETL Engine
Designer
Computer Aided
Software Engineering
PowerDesigner
Forward/ReverseEngineering
RDBMSAdmin
SQLAdmin
Slide 9 or 4125 May 2005
Mapping
• Data process mapping• EAI among models• ODS to ETL to DW Staging• Staging to DW• DW to BI
• Metadata management mapping• To/From standards and reference models
Slide 10 or 4125 May 2005
Business Intelligence
Data Mart
OLAP Cube
Data Warehouse
Data Warehouse
StagingRDBMSMigrate / Replicate
ETL
Staging Target
AP RDBMS
AR RDBMS
WS-API
XML
Source Systems / ODS
GL
APAR
Accts Rcv’l
Finance
Accts Pay
Data Feeds
XML API
WSAPI
Meta-Data Repository
Business Intelligence Design and Reporting
ReportNet
Cognos Repository
FrameworkManager
StagingData
Model
XML Models
AR Model
AR Model
GL Model
WS-API Model
Computer Aided Software Engineering
Model Mart
ERwin Rose
Forward / Reverse Engineering
XML ETL Source
ETL Process Metadata
AR ETL Source
AP ETL Source
WS ETL Source
ETLTarget
RDBMSSchema
WarehouseData
Model
BISource
RDBMSSchema
BI Cube
Reports
Views
Queries
Dims
BI Tool M
appings
Meta-Data BridgesDTD/XSD ER1 MDL XMI PDM XMI
Extract Transform and Load Development
Informatica Repository
InformaticaETL Engine
Designer
Computer Aided
Software Engineering
PowerDesigner
Forward/ReverseEngineering
RDBMSAdmin
SQLAdmin
Data M
ovement M
apping
Data M
ovement M
apping
StandardsMapping
Standard Finance Logical ModelStandards Mapping Standards Mapping
Data M
ovement M
apping
ETL Tool Mappings
Data M
ovement M
apping
Slide 11 or 4125 May 2005
Source Message Target Schema
Message Class: EmployeeAttribute: Employee Number
DataType: Char(10)Attribute: Name
DataType: Char(50)Attribute: Address
DataType: Text()Attribute: Age
DataType: Number(2)Attribute: Race
DataType: Char(2)
Table: PersonAttribute: Unique ID
DataType: LongIntAttribute: Name
DataType: Varchar(50)Attribute: DOB
DataType: DatetimeAttribute: Ethnicity
DataType: Char
Table: EmployeeAttribute: Unique ID
DataType: LongIntAttribute: Employee Number
DataType: Varchar(10)Attribute: Date of Employment
DataType: DatetimeAttribute: Status
DataType: Char(10)
Table: AddressAttribute: Unique ID
DataType: LongIntAttribute: Address Line 1
DataType: Varchar(30)Attribute: Address Line 2
DataType: Varchar(30)Attribute: Address City
DataType: Varchar(30)Attribute: Address State
DataType: Varchar(2)Attribute: Address Zip
DataType: Varchar(9)
Table: PersonAddressAttribute: Person Unique ID
DataType: LongIntAttribute: Address Unique ID
DataType: LongIntAttribute: Address Type
DataType: Varchar(10)
Slide 12 or 4125 May 2005
Reporting
• Lineage analysis• Forward (Impact) analysis
• ODS DW Staging DW BI Design Reporting• Reverse lineage analysis
• ODS DW Staging DW BI Design Reporting
Slide 13 or 4125 May 2005
Version and Configuration Management
• Not “one version of the truth”• Multiple versions of sources/targets• Multiple mappings among multiple versions• Multiple configuration of these versions
Slide 14 or 4125 May 2005
Metadata Management StrategySummary .........................................................................................................................................................12 Table of Contents ....................................................................................................................................13 Table of Figures ......................................................................................................................................14 Background .............................................................................................................................................15 Meta-Data Architecture...........................................................................................................................1
5.1 Meta-Data Repository (MDR) Architecture....................................................................................15.2 Meta-Data Sources and Targets.......................................................................................................2
5.2.1 Meta-Data Accessibility ..........................................................................................................25.2.2 Other Databases.......................................................................................................................4
5.3 Server and Workstation Architecture ..............................................................................................45.3.1 Repository Server ....................................................................................................................45.3.2 Repository Administration ......................................................................................................45.3.3 Meta-Data Management ..........................................................................................................45.3.4 Meta-Data Source POC’s ........................................................................................................45.3.5 Business Users.........................................................................................................................4
6 Meta-data Management Process..............................................................................................................56.1 General Meta-data Management Process ........................................................................................5
6.1.1 Meta-Data Repository Transaction Process.............................................................................56.1.2 Criteria for Meta-Data Repository Access ..............................................................................6
6.2 Data Standards Management Process..............................................................................................76.2.1 DSM Process in Detail ............................................................................................................76.2.2 Phase 1—Identify Data Management Requirements...............................................................96.2.3 Phase 2—Data Review Package Development .......................................................................96.2.4 Phase 3—Execute Data Management Plan..............................................................................96.2.5 Phase 4—Evaluate Effectiveness ............................................................................................96.2.6 Types of Data Standards Issues.............................................................................................10
6.3 Meta-Data Management Examples ...............................................................................................126.3.1 Legacy to Oracle ERP ETL...................................................................................................136.3.2 ERP to Warehouse ETL ........................................................................................................146.3.3 Warehouse to BI ETL............................................................................................................146.3.4 Impact Analysis.....................................................................................................................156.3.5 Updated Standard Code Set...................................................................................................12
7 Roles and Responsibilities ....................................................................................................................167.1 Meta-data Manager .......................................................................................................................167.2 Meta-data Repository Administrator .............................................................................................167.3 Data Steward .................................................................................................................................167.4 Data Proponent..............................................................................................................................177.5 Meta-data Integration POC ...........................................................................................................177.6 Data Standardization CM Roles and Responsibilities ...................................................................17
7.6.1 Data Standards Board............................................................................................................177.6.2 Board Chair ...........................................................................................................................187.6.3 Data Standards Manager .......................................................................................................187.6.4 Support Staff .........................................................................................................................187.6.5 Training .................................................................................................................................18
Slide 15 or 4125 May 2005
Customize ERP Model
Develop ETL
Execute Test ETL
Run
Evaluate Results
Execute Production ETL Run
Production Beta Test
Populate Schemas in
MDR
Forward Engineer to Oracle ERP
Customize DW Model
Develop ETL
Execute Test ETL
Run
Evaluate Results
Execute Production ETL Run
Production Beta Test
Populate Schemas in
MDR
Forward Engineer to DW Builder
Legacy to ERP Migration
ERP to Warehouse
Customize DW Model
Develop ETL
Execute Test ETL
Run
Evaluate Results
Execute Production ETL Run
Production Beta Test
Populate Schemas in
MDR
Forward Engineer to DW Builder
Warehouse to BI
Reverse Engineer Changed Version
Impacted POC’s Update
Packages
Test Evaluate Results
Execute Production
Run
Production Beta Test
Get Schema From
Repository
Identify Mapped
(Impacted) Packages
ERP Flex Fields Change Impact Analysis
Slide 16 or 4125 May 2005
Forward-Engineerto Oracle ERP Develop ETL in Informatica
Customize Source/ Target Models
Populate Repository withSource/ Target Models
Retrieve Model from MDR
Edit in ERwin
Import New Version into
MDR
New ERP Schema Design
Completed
Migrate Version from Prior ERP Schema Design
Post in Model Mart
Export Source / Target models
and Transforms from MDR
Import into Informatica
Designer
Export schema and transforms from Designer
Import New Version into
MDR
Store in Informatica Repository
Export complete Model from
ERwin
New ETL Design
Completed
Migrate Version from Prior ETL
Design
Extract Schema from Oracle
ERP into MDR
Export Source /Target Models
from ERwin
Export schema and transforms from Designer
Import New Product into
MDR
Import New Product into
MDR
Compare Models in MDR
Map Models in MDR
Extract Schema from Legacy
into MDR
Export New ERP Design to
ERwin
Generate ERP Update DDL
Slide 17 or 4125 May 2005
Identify Mapped (Impacted) Packages
Impacted POC’s Update PackagesMake Changes in ERwin
Identify Package in
Repository and Reverse Engineer Changed Version
Retrieve Latest Version ERP Schema from
MDR
Make Changes in ERwin
Import New Version into
MDR
New ERP Schema Design
Completed
Migrate Version from Prior ERP Schema Design
Post in Model Mart
Export Source / Target models
and Transforms from MDR
Import into Informatica
Designer
Export schema and transforms from Designer
Import New Version into
MDR
Store in Informatica Repository
Export complete Model from
ERwin
New ETL Design
Completed
Migrate Version from Prior ETL
Design
Generate New ERP Schema or
Extensions
Schema or Transformation
Change Required
Run Web Query to Identify
Impacted ERP Products
Extract Schema from Oracle
ERP into MDR
Compare Models in MDR
Map Models in MDR
Retrieve Latest Impacted
Schema from MDR
Run Web Query to Identify Other Tools’ Impacted
Products
Navigate to Impacted
Schema using MIW
Slide 18 or 4125 May 2005
Identify New meta-data
Updated meta-data to be
committed to physical
instantiation
Updated meta-data to interact with or impact another meta-
data source
Comparison and mapping of meta-data
Updated meta-data from
Standard meta-data package
approval
Editing of meta-data attributes in
ERwin
Import into Meta-Data
Repository as new version of
existing package
Extract meta-data from source
tool
Export meta-data from
Repository into target tool
format
Import into Meta-Data
Repository as first version of new package
Extract meta-data from source
tool
Export meta-data from
Repository into target tool
format
Manage in Model Mart
Integrate meta-data
Integrated meta-data
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Standardization
• Mapping to reference models• Creation of a “canonical form”, I.e., form that may be
transformed to any of the other reference forms.• Standardization process
Slide 20 or 4125 May 2005
ProgramManagement
Organization(s)
DSCMBoard
and/or Chief Architect
DataProponent,
Steward,and/or SDO
Lead Program Management Organization (PMO)
Developers and Deployment
Joint MedicalInformation
Systems
New XML Message Structure Develop and DeployNew Version of XML MessageYes
No
Yes
No
No
YesNo Yes
No
Yes
No
Yes
No
YesNo
Identify SDO,
Proponent & Steward
Identify SDO,
Proponent & Steward
EndorsedEndorsed
New Version of ExistingXML Message
Design Using XML Message Structure
Design Using XML Message Structure
EndorsedEndorsed
Develop and Review Message Structure and/or Extend SDO
Standard
Develop and Review Message Structure and/or Extend SDO
Standard
MHS AdoptedSDO
Standard?
MHS AdoptedSDO
Standard?
Check for SDO Standard
Check for SDO Standard
Need Changeto XML Message
in Registry?
Need Changeto XML Message
in Registry?
Propose Change to Message
in Registry
Propose Change to Message
in Registry
License & Registry Change Control
License & Registry Change Control
Existing Message Change Control
Existing Message Change Control
NeedXMLMessageStructure
Need New
License?
Need New
License?
In the Registry
?
In the Registry
?
Evaluate Lead PMOEvaluate Lead PMO
Deploy Using XML Message Structure
Deploy Using XML Message Structure
Deployment Change Control
Deployment Change Control
NeedsEndorsement
?
NeedsEndorsement
?
New XMLMessage
Program ManagementProgram Management
Evaluate Proponent and StewardEvaluate Proponent and Steward
Propose Change to SDO XML Message
Propose Change to SDO XML Message
ModificationNeeded to SDO
Standard?
ModificationNeeded to SDO
Standard?
Propose New
Message in Registry
Propose New
Message in Registry
New Message Change Control
New Message Change Control
Identify Lead PMO
Identify Lead PMO
Propose Use of SDO
Message
Propose Use of SDO
Message
Yes
No
Yes
Develop Data Requirements, Processes
& Policy
Develop Data Requirements, Processes
& Policy
Slide 21 or 4125 May 2005
Functional Integration Working Group (“FIWG”)Functional Integration Working Group (“FIWG”)
Review Data Package/PlanReview Data Package/Plan
Data Standards Configuration Management Board (“Board”)Data Standards Configuration Management Board (“Board”)
Approve / Reject Data Review
Packages
Approve / Reject Data Review
Packages
Data Standards Configuration Management Board Chair (“Chair”)Data Standards Configuration Management Board Chair (“Chair”)
PrioritizePrioritize
Present Preliminary Data
Review Packages
Present Preliminary Data
Review Packages
Data Standards Configuration Manager (“Manager”)Data Standards Configuration Manager (“Manager”)
Coordinate Support Staff
Efforts
Coordinate Support Staff
Efforts
Assemble Data Review
Packages
Assemble Data Review
Packages
Data Admin Support Staff (“Admin Staff”)Data Admin Support Staff (“Admin Staff”)
Data Analysis and Triage Support Staff (“Analysis Staff”)Data Analysis and Triage Support Staff (“Analysis Staff”)
Impact AnalysisImpact Analysis
Ad Hoc Support Staff (“Add Hoc Staff”)Ad Hoc Support Staff (“Add Hoc Staff”)
Functional and Detailed Impact
Analysis
Functional and Detailed Impact
Analysis
Identify Data Issues/NeedsIdentify Data Issues/Needs
Board Admin Support
Board Admin Support
Staff Admin Support
Staff Admin Support
Staff Admin Support
Staff Admin Support
Staff Admin Support
Staff Admin Support
Present Data Review
Packages
Present Data Review
Packages
Identify / Adopt StandardsDevelop
Procedures
Identify / Adopt StandardsDevelop
Procedures
Identify / Adopt StandardsDevelop
Procedures
Identify / Adopt StandardsDevelop
Procedures
Staff Admin Support
Staff Admin Support
Measure Effectiveness
Coordinate Data Management PlanDevelop Data Review PackageIdentify Data Management Requirements
1
1a
2
2c
2b
2a 3b
3
3a
4f
4e
4d
4
4c
4b
4a
5d
Measure Impact Analysis
Effectiveness
Measure Impact Analysis
Effectiveness
6a
Measure Process Effectiveness and Assemble
Metrics
Measure Process Effectiveness and Assemble
Metrics
Present Data Metrics
Present Data Metrics
Evaluate Data Metrics ReportsEvaluate Data
Metrics Reports
7c
7b
6 & 7
Measure Overall Effectiveness
Measure Overall Effectiveness
6b
Staff Admin Support
Staff Admin Support
7a“Staffing” of
Policy, Guidance,
Agreements, etc.
“Staffing” of Policy,
Guidance, Agreements, etc.
5e
Coordinate Data Management
Plan
Coordinate Data Management
Plan
5a“Staffing” of
Policy, Guidance,
Agreements, etc.
“Staffing” of Policy,
Guidance, Agreements, etc.
5e
“Staffing” of Policy,
Guidance, Agreements, etc.
“Staffing” of Policy,
Guidance, Agreements, etc.
5e
Harmonization and
Functional Analysis
Harmonization and
Functional Analysis
Harmonization,Integration, and
Develop Agreements
Harmonization,Integration, and
Develop Agreements
5b
5c
Slide 22 or 4125 May 2005
Proof of Concept
Implementing An Effective Meta-data Management Environment at Worthington Industries, Inc.
Prepared by John R. FriedrichIn conjunction with
Meta Integration® Technologies, Inc. (MITI) and Worthington Industries, Inc.as part of a
Meta Integration® Based Proof of Concept
Copyright© Meta Integration® Technologies, Inc.
Slide 23 or 4125 May 2005
POC Introduction
• Worthington Industries, Inc.• Worthington Industries is a leading diversified metal
processing company with annual sales of approximately $2 billion.
• Headquartered in Columbus, Ohio, Worthington employs over 8000 people and operates 61 facilities in 10 countries.
Copyright© Meta Integration® Technologies, Inc.
Slide 24 or 4125 May 2005
Informatica ETL Server
Data WarehouseOracle RDBMS
(HP UX)
ETL Staging AreaOracle RDBMS
(HP UX)
Worthington Industries Legacy Systems
Oracle 11iTransactional ERPDatabase (HP UX)
Worthington Data Flows
Data Mart(s)Oracle RDBMS
(HP UX)
Cognos ReportNet
Data Mart(s)Oracle RDBMS
(HP UX)Data Mart(s)
Oracle RDBMS(HP UX)Data Mart(s)
Oracle RDBMS(HP UX)
Copyright© Meta Integration® Technologies, Inc.
Slide 25 or 4125 May 2005
Informatica ETL Server
Data WarehouseOracle RDBMS
(HP UX)
Data Mart(s)Oracle RDBMS
(HP UX)
Cognos ReportNet
Data Mart(s)Oracle RDBMS
(HP UX)Data Mart(s)
Oracle RDBMS(HP UX)Data Mart(s)
Oracle RDBMS(HP UX)
ETL Staging AreaOracle RDBMS
(HP UX)
Worthington Industries Legacy Systems
Oracle 11iTransactional ERPDatabase (HP UX)
InformaticaRepository
Oracle RDBMS(HP UX)
CognosRepository
Oracle RDBMS(HP UX)
Model MartRepository
Oracle RDBMS(HP UX) Informatica
Designer
ErwinCognos
Framework Manager
Other Development
ToolsOther
Development Tools
Other Development
Tools
Meta-data is Everywhere
Copyright© Meta Integration® Technologies, Inc.
Slide 26 or 4125 May 2005
Informatica ETL Server
Data WarehouseOracle RDBMS
(HP UX)
ETL Staging AreaOracle RDBMS
(HP UX)
Worthington Industries Legacy Systems
Oracle 11iTransactional ERPDatabase (HP UX)
InformaticaRepository
Oracle RDBMS(HP UX)
CognosRepository
Oracle RDBMS(HP UX)
Model MartRepository
Oracle RDBMS(HP UX) Informatica
Designer
Erwin
Cognos Framework
Manager
Other Development
ToolsOther
Development Tools
Other Development
Tools
Meta-data Integration
Meta IntegrationRepositoryDatabase
Oracle (HP UX)
Meta Integration
Works
Meta Integration
Model Bridge
Data Mart(s)Oracle RDBMS
(HP UX)
Cognos ReportNet
Data Mart(s)Oracle RDBMS
(HP UX)Data Mart(s)
Oracle RDBMS(HP UX)Data Mart(s)
Oracle RDBMS(HP UX)
Copyright© Meta Integration® Technologies, Inc.
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Meta Data Web Interface
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Browse Structure
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Browse Meta-Data
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Impact Analysis
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Full MDR Search
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Slide 32 or 4125 May 2005
Search
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Slide 33 or 4125 May 2005
Mapping to Other (Impacted) Systems/Meta-Data
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Show Standard Vendor
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Show standard vendor with SOX certification added
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Slide 36 or 4125 May 2005
Mapping to other systems (impacted systems)
Copyright© Meta Integration® Technologies, Inc.
Slide 37 or 4125 May 2005
PowerCenter
Legacy to ERP ETL Example
Oracle ERPASN
OBDC
ERwin XML
Informatica Source Analyzer Informatica Target Analyzer
OBDC
ERwin XML
OB
DC
Meta-Data RepositoryERwin ERwin
OB
DC
Copyright© Meta Integration® Technologies, Inc.
Slide 38 or 4125 May 2005
PowerCenter
Legacy to ERP ETL Example
Oracle ERPASN
OBDC
ERwin XML
Informatica Source Analyzer Informatica Target Analyzer
OBDC
ERwin XML
OB
DC
Meta-Data RepositoryERwinERwin
OB
DC
Copyright© Meta Integration® Technologies, Inc.
Slide 39 or 4125 May 2005
Import From Informatica
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View Into MDR
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Export into ERwin
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Manipulate Model in ERwin
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Export back to Informatica as ETL Source
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Update Transformations in Informatica
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Slide 45 or 4125 May 2005
Subset Oracle ERP Model
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Model in MDR
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Subset ERP in ERwin
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Oracle ERP Subset Model as Target of Informatica ETL
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Slide 49 or 4125 May 2005
Standardization Support
Oracle ERP
ASN
Oracle DDL
Create …Select * ...
OBDC
ERwin XML
Informatica
OBDC
ERwin XML
OB
DC
Data Standards Packages inMeta-Data RepositoryStandards Information
Editing in ERwinSchema Forward Engineering
Using ERwin
ASNLegacy Systems
Cognos
Warehouse
DW DDL
Create …Select * ...
Other Meta-Data and Schema XML/XSD
Copyright© Meta Integration® Technologies, Inc.
Slide 50 or 4125 May 2005
Oracle ERP
ASN
Oracle DDL
Create …Select * ...
OBDC
ERwin XML
Informatica
OBDC
ERwin XML
OB
DC
Meta-Data RepositoryStandards InformationEditing in ERwin
Schema Forward EngineeringUsing ERwin
ASNLegacy Systems
Cognos
Warehouse
DW DDL
Create …Select * ...
Other Meta-Data and Schema XML/XSD
Metadata flows
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Slide 51 or 4125 May 2005
Standardization Example: Vendor Meta-Data Package
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Slide 52 or 4125 May 2005
Edit in ERwin
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Slide 53 or 4125 May 2005
Migrate Standard Reference Mappings
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Slide 54 or 4125 May 2005
Export to Other Meta-Data Environments
ERwin
Informatica
Cognos
XML,Rose,Java,Legacy,ETC…..
Copyright© Meta Integration® Technologies, Inc.
Conclusion
