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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

Erik Jarlstrom

Director of North American Pre-sales

corporate summary
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
  • Database Growth and Impact
  • Strategy: Information Lifecycle Management
  • Active Archiving
  • Enterprise Database Archiving
database growth impacts it budgets
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

related symptoms
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
potential solution ignore database growth
Potential Solution: Ignore Database Growth

…and continue to add

  • People
  • Processes
  • Technology

…and continue to decrease

  • Performance
  • Availability
  • Time for other projects


traditional approaches
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
strategy information lifecycle management

Acquisition of Data

Heavy Access


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
implement storage strategies to meet availability requirements
Implement Storage Strategies to Meet Availability Requirements

RDBMS and High-Concurrency Storage (RAID)


File Systems, NAS, Optical

Tape or Optical Storage

segregating application data to support storage strategy
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

information lifecycle management archiving strategy
Information Lifecycle ManagementArchiving Strategy





Path 1




Archive Database


Flat Files




Years 1 - 2

Years 3 - 5

Years 6 - 7

Years 8+

(Adjust timeframes to meet internal & statutory requirements)

solution active archiving

Archive 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




archiving oracle apps data
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






Locate, Browse, Query, Report . . .

Data Access

top requirements for enterprise database archiving
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
manage your enterprise data smarter
Manage Your Enterprise Data Smarter

Test Smarter with

Relational Tools

Store Smarter with

Active Archive Solutions


(Test, Dev, Training, …)




Oracle Apps



for Servers

Archive for DB2

Relationship Engine



SQL Server





suggested resources
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


Erik Jarlstrom

Princeton Softech