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Gaining an understanding of complex application
database relationships
UNYOYG
November 14, 2008
Ray Makela
© 2008 IBM Corporation
IBM Software Group | Information Management software
The Data Explosion?
 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%
With all of the change and growth, we need to
understand how it affects the enterprise
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IBM Software Group | Information Management software
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.
Database
 The Challenge….As the complexity of data
relationships increases, it becomes increasingly
difficult to discover and keep track of this
information.
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IBM Software Group | Information Management software
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
?
?
? ?
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IBM Software Group | Information Management software
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
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IBM Software Group | Information Management software
Analyzing Database Relationships
 Discover all, or specific database
relationships, based on your
parameters
DBA
 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.
Database
Relationship
Analyzer
Database
Catalog
System-managed RI
Triggers
Packages
User Input
User-defined RI
SQL
Trace
Application relationships
 Dynamic SQL
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IBM Software Group | Information Management software
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 Starts
Trace on
Application 1 Ends
Trace off
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IBM Software Group | Information Management software
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 – 1st Run
Emp, Address
Group – 2nd Run
Group
Compare
Results
Emp, Address,
Salary
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IBM Software Group | Information Management software
Compare Group Discovery Results
 Compare database relationships between baseline and update
relationship analysis to understand differences
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IBM Software Group | Information Management software
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
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