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In order to provide a new level of intelligence and control over data resident within the enterprise, one needs to build a chain of tools and automated processes that enable the evaluation, analysis, and visibility into information assets and their dynamics during the information life-cycle. The author proposes a novel framework to utilize the existing backup infrastructure by integrating additional content analysis routines and extracting already available file system metadata over time. This is used to perform data analysis and trending required for adding performance optimization and self-management capabilities to backup and information management tasks. Backup management faces serious challenges on its own: processing ever increasing amount of data while meeting the timing constraints of backup windows could require adaptive changes in backup scheduling routines.
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