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Information Lifecycle Management for Oracle Apps Data

Information Lifecycle Management for Oracle Apps Data. Erik Jarlstrom Director of North American Pre-sales. What does this have to do with Oracle Databases?. Corporate Summary. Founded in 1989 Over 2000 customers in 30 Countries

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Information Lifecycle Management for Oracle Apps Data

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  1. Information Lifecycle Management for Oracle Apps Data Erik Jarlstrom Director of North American Pre-sales

  2. What does this have to do with Oracle Databases?

  3. Corporate Summary • Founded in 1989 • Over 2000 customers in 30 Countries • Committed to providing enterprise database archiving and test data management solutions • Reputation of high quality and reliable products • Partners with industry leading database and storage solution providers • Recognized by Gartner, Giga, and Meta as database archiving market leader

  4. Agenda • Database Growth and Impact • Strategy: Information Lifecycle Management • Active Archiving • Enterprise Database Archiving

  5. Database Growth Impacts IT Budgets “…databases will grow 30x during the next decade, or roughly 40% annually.” Source: Meta Group 2001 40% CAGR may be a conservative estimate! “With growth rates exceeding 125%, organizations face two basic options: continue to grow the infrastructure or develop processes to separate dormant data from active data.” Source: Meta Group 2003

  6. Oracle Applications Data Growth Example

  7. Related Symptoms • Application users complain their system is “slow” to: • Perform online account inquiries and financial period closeouts • Enter transactions and process payments • Post batches and generate reports • Process weekly/monthly/quarterly depreciation runs • Increasing operating costs • Higher hardware and software license and support costs • Longer development and test cycles • Labor intensive time and effort for system administrative tasks • Extended maintenance times for managing backup, recovery and cloning processes • Additional headcount required to adequately manage a larger environment

  8. Potential Solution: Ignore Database Growth …and continue to add • People • Processes • Technology …and continue to decrease • Performance • Availability • Time for other projects ProductionDatabase

  9. Traditional Approaches • Add More Capacity • Bottom line impact • Uncontrolled continuous cost • Institute rigorous database tuning • Does not directly address data growth • Reaches point of diminishing returns • Delete Data (i.e. Purge) • Legal and retention issues • Data may be needed for data warehousing • In-House Development • Complex undertaking • Application specific • Support / upgrade / maintenance / opportunity cost

  10. Acquisition of Data Heavy Access Disposal Rare Access Medium Access Strategy: Information Lifecycle Management • Understand data retention requirements • All data has a life cycle from acquisition to disposal • Define availability level requirements • At various stages, data has different: • Business value • Access requirements • Performance requirements • Implement storage strategy to meet availability requirements • Each stage should be stored on the appropriate type of storage • Segregate application data to support strategy • Data should be managed to match the business value

  11. © 2003 Enterprise Storage Group, Inc. Source: Enterprise Storage Group, May 2003 Matching Access and Performance to Business Value

  12. Implement Storage Strategies to Meet Availability Requirements RDBMS and High-Concurrency Storage (RAID) RDBMS, File Systems, NAS, Optical Tape or Optical Storage

  13. Segregating Application Data to Support Storage Strategy ORDER_DATE > 01-JAN-2002 ORDER_DATE > 01-JAN-1998 & < 31-DEC-2001 ORDER_DATE < 31-DEC-1997

  14. Information Lifecycle ManagementArchiving Strategy “Off-LineArchive” “On-LineArchive” “Current” “History/Reporting” Path 1 Archive Archive ProductionDatabase Archive Database Tape Flat Files Archive Restore Restore Years 1 - 2 Years 3 - 5 Years 6 - 7 Years 8+ (Adjust timeframes to meet internal & statutory requirements)

  15. Archive Database Archive Files Production Database Archive Files Data Access (locate, browse, query, report) Solution: Active Archiving • Reduce amount of data in the application database • Remove obsolete or infrequently used data • Maintain “business context” of archived data • Archive relational subsets vs. entire files • Enable easy user access to archived information • View, research and restore as needed • Support Data & Storage Management Strategies Archive & Restore

  16. Example Active Archiving Policies

  17. Archiving Oracle Apps Data Archiving Historical Data Archive Database GL – Balances, Journals … AP – Payments, Invoices, Vendors… AR – Receipts, Invoices … FA – Depreciation, Adjustments Purchasing – POs, Reqs, OM – Orders, … INV - Transactions General Ledger Payables Production Database Receivables Assets Locate, Browse, Query, Report . . . Data Access

  18. Transparent Access – How?Responsibility-Driven Data Access

  19. Production Transparent Access - Forms

  20. Archive Transparent Access - Forms

  21. Archive & Production Transparent Access - Forms

  22. Production Transparent Access - Reports

  23. Archive Transparent Access - Reports

  24. Archive & Production Transparent Access - Reports

  25. Top Requirements for Enterprise Database Archiving • Extract subsets of related data to offload • Able to go beyond catalog-defined relationships • Selectively/relationally delete all or some archived data • Selectively/relationally restore • Access, browse, query archived data • Preserve business context of archived data • Comprehensive archive data management • Architecture for long term enterprise-wide strategy

  26. Challenge: Referential Complexity

  27. Manage Your Enterprise Data Smarter Test Smarter with Relational Tools Store Smarter with Active Archive Solutions Pre-Production (Test, Dev, Training, …) Production PeopleSoft ClarifyCRM Oracle Apps RelationalTools Archive for Servers Archive for DB2 Relationship Engine Legacy Oracle SQL Server DB2 UDB DB2 Sybase Informix

  28. Suggested Resources • Databases on a Diet: Meta - Jan 2003 • Banking on Data: InformationWeek – Aug 4, 2003 • Bank of New York implements active archiving • Enterprise Storage Group (ESG) Impact Report on Compliance - May 2003 • The effect on information management and the storage industry • Princeton Softech’s Web site and whitepapers www.princetonsoftech.com

  29. Questions Erik Jarlstrom Princeton Softech ejarlstrom@princetonsoftech.com 916.939.8191

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