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Managing

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Routine backup and recovery. 7. 2004 Princeton Softech, Inc. Data Retention Example ... Stretch the project timeline? Discontinue one of your current projects? ... – PowerPoint PPT presentation

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Title: Managing


1
  • Managing
  • Oracle Applications Data
  • Smarter

No part of this presentation may be reproduced or
transmitted in any form by any means, electronic
or mechanical, including photocopying and
recording, for any purpose without the express
written permission of Princeton Softech, Inc.
2
Information Powers the Organization
  • Information is an increasingly valuable and
    costly organizational asset
  • Goals minimize risk, reduce costs, and increase
    flexibility...
  • By aligning IT investments according to evolving
    information value

Structured
Semi-Structured
Unstructured
3
Challenge Database Growth
2003
2002
2001
4
How much? How fast?
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
5
Data Growth Impacts Business Process
  • As Transaction Data
    Accrues
  • Longer batch cycles
  • Resources and maintenance increases
  • Increased storage and processing costs
  • Batch window crosses into prime time
  • Impacts to the business process

6
Whats Driving Data Growth?
  • High-volume online transaction processing
  • Customer facing eCommerce applications
  • ERP/CRM
  • Supply chain applications
  • Record retention requirements
  • Financial Services Sarbanes-Oxley
  • Healthcare HIPAA
  • Pharmaceutical 21 CFR 11
  • Financial IRS and SEC Rule 17a-4
  • Multiplicity of data
  • Multiple operational, development and testing
    environments
  • Disaster recovery and business continuity
  • Routine backup and recovery

7
Data Retention Example
  • SEC Rule 17a-4
  • Retain records for six years from close of
    account or termination of associated employees
  • Keep records in an "easily accessible place"
  • Produce records immediately if the records are
    located in the office where the request is made
  • Produce records within three business days if the
    requested records are located off-site
  • Display requested records electronically in a
    local office and immediately produce printed
    copies to satisfy Rule requirements

8
Data Multiplier Effect
9
Database Growth Cant Ignore It
  • continue to add
  • People
  • Processes
  • Technology
  • continue to limit
  • Performance
  • Availability
  • Time for other projects

ProductionDatabase
10
Alternatives
  • Add more capacity
  • Bottom line impact
  • Uncontrolled cost spiral
  • Institute rigorous database tuning
  • Does not directly address data growth
  • Reaches point of diminishing returns
  • Delete/ purge data
  • Legal and data retention issues
  • Data may be needed for data warehousing
  • In-house development
  • Complex undertaking
  • Application specific
  • Support/upgrade/maintenance/opportunity cost

11
What Can We Do?
Deploying a successful database archiving
strategy is critical to ensure database
availability.
Organizations should incorporate data archival
policies within current design or implementation
plans to maintain future performance and reduce
related costs.
12
About Princeton Softech
  • Providing relational data management solutions
    for enterprise IT since 1989
  • Global company 2000 customers in 30 countries
  • Recognized by Gartner, Giga and META as market
    leader
  • Pioneered enterprise database archiving and test
    data management segments
  • Partners with industry-leading database,
    enterprise application and storage solution
    providers

13
Manage Enterprise DataSmarter
ClarifyCRM
PeopleSoft
Oracle Apps
RelationalTools for Servers
Archive for DB2
Archive for Servers
Relationship Engine
Legacy
Oracle
SQL Server
Sybase
Informix
DB2 UDB
DB2
14
Smaller Production DB Lower Cost
15
Princeton Softechs Active Archive Solutions
  • Reduce the amount of data in the application
    database
  • Remove obsolete or infrequently used data
  • Maintain business context of archived data
  • Enable easy user access to archived information
  • View, research and restore as needed
  • Support data and storage management strategies

16
Solution Overview
  • Support for Oracle Applications versions 11.0
    11i
  • Financials
  • Manufacturing
  • Supply Chain
  • Human Resources
  • Projects
  • Transparent access to data via standard Oracle
    Applications forms and reports
  • Pluggable archiving framework designed to support
    predefined archive templates and local
    customizations


17
Archiving Oracle Financials Data
Archiving Historical Data
Active Archive Database

General Ledger
GL Balances, Journals AP Payments,
Invoices, Vendors AR Receipts, Invoices FA
Depreciation, Adjustments
Payables
Production Database
Receivables
Assets
Locate, Browse, Query, Report . . .
Data Access
18
Transparent Access to Archived Data
  • Seamless access to BOTH archived and production
    data via Oracle Applications
  • Leverages Responsibility to access data, using
    standard Oracle forms and reports
  • Steps to view archived data
  • Login
  • Select Responsibility
  • Access archived data, production data or BOTH

19
Archive Workbench
  • Manage and report on the lifecycle of the entire
    archive process
  • Current location of the archived data
  • Run archive jobs
  • To the active archive database
  • To Offline storage
  • Restore
  • Detailed Reporting on the Archive Process
  • Request date and time
  • Current status
  • Module and user
  • Criteria used
  • Number of records archived from each table

20
Verification Engine
  • System Verification Diagnostics
  • Comprehensive top to bottom configuration
    analysis/validation
  • Archive Process Diagnostics
  • Performs application validation prior to
    archiving data
  • Verifies and matches table structures in the
    active archive database
  • Oracle Patch and Upgrade Checking
  • Detects mismatches
  • Provides upgrade procedures

21
Information Lifecycle Management
  • All data has a lifecycle
  • Parameters differ over time
  • Business value
  • Access requirements
  • Performance requirements
  • Store and manage accordingly

22
Customer Success - AVX
  • Who is AVX?
  • Kyocera Group company
  • manufacturer and supplier of electronic
    components
  • Challenges
  • Implement a single global instance without
    adversely impacting business
  • Avoid business disruption during software
    upgrades
  • Reduce frequency of hardware upgrades
  • Maintain consistent database size and performance
  • Reasons
  • Consolidation will grow the database by
    magnitudes
  • Need to implement database archiving before
    adding the largest manufacturing site (70,000
    WIP move transactions daily)

23
Customer Success - AVX
  • Implementation Approach
  • Business requirements
  • Decrease upgrade time
  • Focus staff on core competencies
  • Prepare for archiving during the definition phase
    of the global IT solution
  • Provide user community with transparent data
    access
  • Results
  • First phase installed, configured implemented
    in one week
  • Consistent database size and performance
  • Smaller test environments refresh quickly

24
Database Archiving Benefits Summary
25
Archiving Reduces Database Volume
26
Streamlining Application Environments
  • Multiple environments required
  • Application deployments
  • Customizations
  • Upgrades
  • Patches
  • QA database
  • Training, Staging, etc.
  • Challenges
  • Space
  • Time
  • Cost

27
Typical Approaches
  • Purchase additional disk space?
  • Stretch the project timeline?
  • Discontinue one of your current projects?
  • Most common solution
  • Share test and development databases
  • among projects/teams

28
Managing Oracle Applications Test Data
  • Extract precise subsets of related data to build
    realistic, right-sized test databases
  • Create referentially intact subsets
  • Remove the bulk of production data
  • Minimize the load on testing and staging servers
  • Speed iterative testing tasks with reusable
    processing definitions and Extract Files to
    ensure consistency
  • Browse and edit complex relational data from
    multiple tables in a single display

Production Database
Test
29
Create, Review, Edit Templates
  • Add or Remove tables
  • Include new DB objects
  • Functions
  • Packages
  • Procedures
  • Rules
  • Sequences
  • Views

30
Creating a Subset using a Template
  • Criteria can be based on one or more modules
  • All Date Values
  • GL Date
  • Transaction Date
  • Default Effective
  • Date
  • Sets of Books
  • Organizations
  • Status
  • Invoice number(s)
  • And/Or combos
  • More.

Define your criteria
31
Benefits
  • Maximize allocated disk space
  • Increase number of test/ dev environments
  • Reduce infrastructure costs
  • Realize development and test efficiencies
  • Reduce the cycle times for test upgrades
  • Reduces time and resources required to backup and
    maintain non-production environments

32
Manage Enterprise DataSmarter
ClarifyCRM
PeopleSoft
Oracle Apps
RelationalTools for Servers
Archive for DB2
Archive for Servers
Relationship Engine
Legacy
Oracle
SQL Server
Sybase
Informix
DB2 UDB
DB2
33
Questions
  • David Stevens
  • Princeton Softech
  • dstevens_at_princetonsoftech.com
  • 609.627.5500
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