Overview

Recent research and studies shows that the average database growth is 25% annually and this requires resources to retain and manage valuable corporate data. Many organizations face challenges due to increased expenses and cost for managing data in terms of resources i.e. hardware, software, human-power, finance, compliance, governance, risk etc.

Many organizations think 50% storage utilization is acceptable—as companies buy more systems instead of leveraging existing systems more efficiently.

life cycle 1

Exponential data growth can be attributed to the plethora of government and industry regulations regarding extensive data retention policies facing organizations today. In the past, data that had exceeded its useful life would be erased or retained—often in a manner that made it difficult to be found and retrieved. Now, this information is being retained indefinitely and IT must be able to locate it within a reasonable period of time.life cycle 2

There are a number of reasons businesses like yours are archiving data. Some need to meet regulatory compliance. Others do it because it helps their business systems run more efficiently. Many companies are finding ways to repurpose or reuse existing data and monetize their digital assets.Whatever your reasons, archiving your data can save resources like time, storage space, and ultimately, money.

Organizations must also factor in the operational impact that increased retention presents to IT departments. The proliferation of new hardware will take up valuable data centre real estate and consume additional power and cooling resources.

Key Benefits

  • Lower production database storage costs while optimizing performance by safely archiving inactive data and removing it from the production database
  • Multiple production databases can use the same archiving/staging database
  • Tools include a way to preview both the size of the archive data as well as the table rows that will be archived. Based on the results, you can modify the script to add or remove all relevant data.
  • Automatically include database defined child/parent tables as part of the archive.
  • Create additional table relationships to meet business rules.
  • Application users and reporting applications can query and access the archived data along with the production data with no operational or configuration changes.
  • Restore all or part of the archived data by creating queries.
  • Automatically clean the archived database after a restore.