3
4
1 Master Data
2 MDM
5
6
Components of MDM Hub
Architecture
Batch and Real-time Process
Hub Users and Scenarios head start
Agenda (Contd.).
8
9 Advanced Concepts
7 Installation
Performance Tuning & Troubleshooting
DW Scenarios
8
9 Advanced Concepts
7 Debugger
Performance Tuning & Troubleshooting
The Technical Challenge: Managing Data in a Data Warehouse
8
9 Advanced Concepts
To make timely, confident decisions, business leaders need access to reliable data, which can be achieved by integrating MDM with a data warehouse.
Performance Tuning & Troubleshooting
Master Data
Master data is a collection of common, core entities alongwith their attributes and their values that are consideredcritical to a company's business
Master Data
Master data is a collection of common, core entities alongwith their attributes and their values that are consideredcritical to a company's business
Master Data
Master data is a collection of common, core entities alongwith their attributes and their values that are consideredcritical to a company's business
Master Data
Master data is a collection of common, core entities alongwith their attributes and their values that are consideredcritical to a company's business
Why MDM?
3
4
1 Regulatory compliance
2 Cost savings
5
Productivity improvements
Increased revenue
Strategic Goals
Why MDM Hub?
3
1 Integrated
2 Model-Driven
Flexible
Why MDM Hub?
3
1 Integrated
2 Model-Driven
Flexible
What is MDM Hub?
MDM Hub Architecture?
MDM Hub Console?
Master Data
Master data is a collection of common, core entities alongwith their attributes and their values that are consideredcritical to a company's business
MRM
To build Master Data
To clean and match
To Consolidate and manage master data across data srcs
To access internal and external of an organization
To act as a system-of-record for all downstream apps.
HM
To allows users to manage hierarchy data
And
Associated with the records managed in MRM.
Tools--->Hierarchy Manager Tool and Hierarchies Tool
SAM
Authorized users have access to MDM Hub
METValidate the metadata in a Informatica MDM Hub repository
Compare repositories and generate change lists that describe the differences between them
Copy design objects from one repository to another
Export the repositorys metadata to an XML file
Visualize the schema using a graphical model view of the repository.
SIF
interfaces with external programs and applications
Loosely coupled web services using the SOAP protocol
Tightly coupled Java remote procedure calls
Asynchronous Java Message Service (JMS)-based msgs
IDD
Web based,task-oriented, workflow-driven, highly customizable, and highly configurable
Used by data stewards:
Create Master Data
Manage Master Data
Consume Master Data
Monitor Master Data
Batch Data Process Flow
Real Time Data Process Flow
Batch Process
Hub Store
Hub Users
Administrators Configuration
Developers Design, develop, test and deploy to Hub
Data Stewards quality
Hub Users
Administrators Configuration
Developers Design, develop, test and deploy to Hub
Data Stewards quality
Installation
Installation Single Host
Installation Multiple Hosts
Installation Database setup
Create Proxy Users
Lmited Privilages Configuration
Developers Design, develop, test and deploy to Hub
Data Stewards quality
Create Hub Store
Master DB setup.sql
ORS setup_ors.sql
Hub Server
Change JVM Settings JAVA_OPTSset JAVA_OPTS=%JAVA_OPTS% -Xms512m -Xmx1024m -Xss1000k -XX:PermSize=64m -XX:MaxPermSize=256m
trueStart jboss
hub_cleanse_install.exe
Post install script
Click hub_server.exe
Run Post install script
Hub Console
http://:/cmx
Cleanse Server
Change JVM Settings JAVA_OPTSset JAVA_OPTS=%JAVA_OPTS% -Xms512m -Xmx1024m -Xss1000k -XX:PermSize=64m -XX:MaxPermSize=256m
Click hub_server.exe
Run Post install script
1. Architecture Overview & Components
Data Quality GiGo: garbage in, garbage out
Cos its in the computer, dont mean its right
Its not the things you dont know that matter, its the things you know that arent so.
Will Rogers, Famous Okie GI specialistBut there are also unknown unknowns: the ones we don't know we don't know. Donald Rumsfeld
Fast is fine, but accuracy is everything. Wyatt Earp
Installation Types
Increased performance, scalability, reliability and better administration was the top ranking development priorities
Major applications Workbench - interface Server - engine Workbench Component Transformations - export Data Quality integrated Transformations - import Association Transformations - plug-in
Installation Types
Installation Scenarios Standalone Installations - interface Enterprise Client Installations Enterprise Server Installation
System Requirements1 GB RAM and 1 GB HDD
Check User Limits Using ulimit
License Check
Slide 1Slide 2Slide 3Slide 4Slide 5Slide 6Slide 7Slide 8Slide 9Slide 10Slide 11Slide 12Slide 13Slide 14Slide 15Slide 16Slide 17Slide 18Slide 19Slide 20Slide 21Slide 22Slide 23Slide 24Slide 25Slide 26Slide 27Slide 28Slide 29Slide 30Slide 31Slide 32Slide 33Slide 34Slide 35Slide 36Slide 37Slide 38Slide 39Slide 40Slide 41Slide 42