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Info rmat ion Li fecycle

Management for

Oracle Apps DataErik Jarlstrom

Director of North American Pre-sales


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What does this have to do with Oracle Databases?


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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 asdatabase archiving market leader


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Agenda

Database Growth and Impact

Strategy: Information Lifecycle

Management

Active Archiving

Enterprise Database Archiving


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Database Growth Impacts IT Budgets

2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011

Current Data

Historical Data

40% CAGR may be a conservative estimate!

With growth rates exceeding 125%, organizations

face two basic options: continue to grow theinfrastructure or develop processes to separate

dormant data from active data. Source: Meta Group 2003

databases will grow 30x during the next decade, or roughly 40% annually.Source: Meta Group 2001


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Oracle Applications

Data Growth Example

5 Years (GB) 6 Years (GB) 7 Years (GB)

Entire Database 200 300 450

FinancialsModules 130 195 292.5

Accounts Payable 60 90 135

General Ledger 40 60 90

Accounts Receivable 30 45 67.5

Other Modules 70 105 157.5


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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 largerenvironment


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Potential Solution: Ignore Database Growth

and continue to add

People

Processes

Technology

and continue to decrease

Performance

Availability Time for other projects

Production

Database


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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 availabilityrequirements 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

Acquisition of Data

Heavy Access

Medium AccessRare Access

Disposal

Strategy: Information Lifecycle

Management


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Matching Access and Performance

to Business Value

High-cost,

Fastresponse

(Sub-second)

Low-cost,

Slowresponse

(30secondstodays)

Frequencyo

faccessa

nd

retrieval

Re

lativev

alu

eofre

cord

Email/Report/Recordcreation,

Documentreceipt,

Statementprinttime

Retentionperiod

Disposition

Allretrievalsfromlow-cost,lower-performance,archivalmedia

fromthispointforward

High-performance

Diskpurge

High-cost,

Fastresponse

(Sub-second)

Low-cost,

Slowresponse

(30secondstodays)


Documentreceipt,

Statementprinttime

RetentionperiodRetentionperiod

Disposition



High-performance

Diskpurge

Rela

tivev

alu

eofre

cord

Frequencyo

faccessa

ndr

etrieval

High-cost,

Fastresponse

(Sub-second)

Low-cost,

Slowresponse

(30secondstodays)

Frequencyo

faccessa

nd

retrieval

Re

lativev

alu

eofre

cord


Documentreceipt,

Statementprinttime


Disposition



High-performance

Diskpurge

High-cost,

Fastresponse

(Sub-second)

Low-cost,

Slowresponse

(30secondstodays)


Documentreceipt,

Statementprinttime


Disposition



High-performance

Diskpurge

Rela

tivev

alu

eofre

cord

Frequencyo

faccessa

ndr

etrieval

2003EnterpriseStorageGroup,Inc. Source:EnterpriseStorageGroup,May2003


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RDBMS and High-

Concurrency

Storage (RAID)

Tape or OpticalStorage

RDBMS,

File Systems,

NAS, Optical

Implement Storage Strategies to Meet

Availability Requirements


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ORDER_DATE >

01-JAN-2002

ORDER_DATE >

01-JAN-1998 &

< 31-DEC-2001

ORDER_DATE

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