Proven strategies for archiving complex relational data

Continued database growth, long-term data retention regulations and storage requirements are increasing operational costs. As a result, more CIOs are examining the potential benefits of implementing cost-effective strategies for managing data and information throughout its lifecycle. Because most of the historical data stored in high-performance application databases is inactive, more companies are realizing the value of database archiving as an essential component in an effective data management strategy.

Allowing application data growth to continue can degrade performance, limit availability, increase costs and slow disaster recovery. Yet, archiving complex relational data poses many challenges. Organizations need the capability to archive historical data and safely remove it from the production environment. They also need capabilities to store archives cost-effectively, retain access and dispose of data appropriately to comply with data retention regulations. In short, organizations need an effective archiving strategy for managing application data throughout its lifecycle.

In searching for the ideal archiving solution, some organizations consider in-house development, but soon realize that the short- and long-term costs do not offset the expected return on investment. Implementing an off-the-shelf archiving solution does offer advantages in faster acquisition and implementation. However, the ideal solution must provide the archiving capabilities needed to support current and future data management requirements across often heterogeneous application environments.

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