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Gaining an understanding of complex application database relationships. UNYOYG November 14, 2008 Ray Makela. The Data Explosion?. Mergers & acquisitions Organic business growth eCommerce ERP/CRM Records retention: HIPAA SOX Data multiplier effect - PowerPoint PPT Presentation
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© 2008 IBM Corporation
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Gaining an understanding of complex application database relationships
UNYOYGNovember 14, 2008Ray Makela
IBM Software Group | Information Management software
2
Mergers & acquisitions
Organic business growth
– eCommerce
– ERP/CRM
Records retention:
– HIPAA
– SOX
Data multiplier effect
According to industry analysts, annual compound growth rates for databases will exceed 125%
The Data Explosion?
With all of the change and growth, we need to understand how it affects the enterprise
IBM Software Group | Information Management software
3
Understanding your Enterprise
A business application can have many relationships between the various Database objects, such as tables
Some of these relationships can be discovered easily, while others are hard to find (or not documented) and manage.
The Challenge….As the complexity of data relationships increases, it becomes increasingly difficult to discover and keep track of this information.
Database
IBM Software Group | Information Management software
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A DBA may not always know how tables are related
Personnel changes
– Experienced DBA, new to the system
– New DBA
Little or no documentation
– Legacy applications
– Packaged applications
Environment Changes
– Applications changes
– Changes not documented
? ?
? ?
IBM Software Group | Information Management software
5
Why is knowing relationship data useful?
Ensure data consistency by keeping data relationally intact for:
– Archiving
– Backup and Recovery
– Test Data Management
Understand application relationships
– Application change validation
– Impact analysis
IBM Software Group | Information Management software
6
Analyzing Database Relationships
Discover all, or specific database relationships, based on your parameters
Identify hard-to-find relationships defined and enforced by the application logic
Provides the information required to enabling analysis of the impact of relationships changes across applications
Ready-to-use Java APIs ready for user applications and tools such as Optim Solutions and Recovery Expert.
DBA
DatabaseRelationship
Analyzer
DatabaseRelationship
Analyzer
DatabaseCatalog
DatabaseCatalog
System-managed RITriggersPackages
SQL Trace
SQL Trace
Application relationships Dynamic SQL
User InputUser Input
User-defined RI
IBM Software Group | Information Management software
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Discover hard-to-find relationships- Three easy steps
User Initiated – Collect trace data
– Collect SQL trace data while application is running
Data Relationship Analyzer – Prepare data
– Extract SQL trace data from a table
Data Relationship Analyzer – Analyze data
– Run Group Discovery with “Trace Analysis” option
Application 1 StartsTrace on
Application 1 EndsTrace off
IBM Software Group | Information Management software
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Compare Group Discovery Results
• Compare Group Discovery results between a baseline run and a subsequent run to determine if changes have occurred and understand differences
Group Compare Results
Emp, Address
Group – 1st Run
Emp, Address, Salary
Group – 2nd Run
IBM Software Group | Information Management software
10
Compare Group Discovery Results
Compare database relationships between baseline and update relationship analysis to understand differences
IBM Software Group | Information Management software
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Summary: Analyzing Relationships
Analyze data relationships to improve accuracy and data integrity
Obtain a complete view of your application database environment
Promote database accuracy and consistency
