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Database Archiving
Michelle AyersAdvisory Solution [email protected]
November 2010
visionsolutions.com
for Business
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Vision Solutions’ Corporate Profile
• Leading portfolio of information availability brands– Supports Windows, Linux, Power Systems and Cloud Computing– Aligned with HP, IBM, Microsoft, VMware and other leaders– Teradata Business Partner
• One of the world’s largest engineering and support teams– Exclusive cross-pollination of ideas and technologies– The best talent in the industry!
• Among the industry’s largest worldwide partner networks– Unprecedented support for customers of all sizes and geos– 800+ partners, 25,000+ customers in 70+ countries
• Strong financial performance
• Privately held by Thoma Bravo inpartnership with management
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Why Archive?
Reduce disk storage utilization
Improve ERP application
performance
Defer disk/hardware upgrade
Accelerate nightly backups/batch
jobs
Optimize Environment for HA
Number ranges expiring
Prepare for Stepping Up to new ERP
release
Meet legal requirements
Remove legacy data
Business Benefits100%
50%
90%
75%
Disk Utilization
Start planning for disk upgrade
Critical threshold
Increasing risks and Increasing monitoring costs
Risks & Costs
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What to do with Archived Data
Near-Line and Off-Line Strategies
On-Line – Data that is stored in the production database and is used for on-line transaction processing
Off-Line – Data that has been archived to tape andIs not available to users unless it is restored
Near-Line – Data that has been archived from the Production database and now resides on a different Place on disk. It is accessible to users (typically ona read-only basis)
Purge – Deletion of data with no copy held anywhere
On-Line
Near-Line
Off-Line
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Archive Strategy
Sample Data Retention Policy
ProductionDatabase
HistoryDatabase
2 Years Plus Current Year
3 Years and up to 5 Years
Greater than 5 Years
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Choosing an Archiving Solution
Considerations
Solution Type – ERP vendor, third party solution or develop
own solution?
While Active – 24 x 7 users availability and minimize disruption
to housekeeping tasks
Preserve Database Integrity – avoid creating orphaned data
such as Detail Lines without a Header
Skills Required – DBA/Business Analyst and/or Programming
Flexibility – incorporation of local and country modifications,
and business requirements
Auditing – who ran which task when over which data and when
Recovery – if we accidentally archive too much data how do we
put it back?
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Planning an Archiving Project
Required Steps
Planning Exercise
Project Plan
Identify Business Areas
Determine Retention Policies
Annual archiving or incremental?
Perform Database Analysis
Engage Business Users/Data Owners
Develop Test Plans
Metrics
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Running an Archiving Project
Implementing the Project Plan
Appoint Archive Project Team
Develop archives
Run archives on Test database
Perform Testing – check test plans
Record Metrics - how much data archived, how much
disk space recovered, performance improvements
Repeat on Live database
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Hints and Tips
Points to consider…
Set milestones and time limits
Where to start on your database
Reassure staff
Look back at what was not archived
Avoid Procrastination
Largest tables are not always the easiest to archive
Fear Factors
Orders/deliveries not at completed/cancelled status…
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Test Database
Company Copy
ProductionDatabase
Test Database(Company
Copy)
2 Years Plus Current Year
Last x months of
transactional data
Copy Only
Smaller Test database
saves disk space
Selectively include/exclude
Divisions
Create while users active
Change Company number
Leaders Have Vision™ visionsolutions.com 11Note: Branding Updates In Process
High Availability-Any distance data replication-One button switchover & failover-Hardware independent-Maximum flexibility-Low management-Physical or virtual environments-Optimal RPO and RTO
Disaster Recovery-Any distance data replication-User selectable recovery point CDP-Hardware independent-Maximum flexibility-Low management-Physical and virtual environments -Public or Private Cloud deployment
Data and Systems Management-Change Data Capture CDC-Data transformation-Data integration-Data migration without down-time-Analyze, monitor, manage and optimize
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