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Ten Recommendations for Simplified, Intelligence-Based Storage Management

  • Ten Recommendations for Simplified, Intelligence-Based Storage Management-

    Reduce Cutover Windows

    One of the biggest challenges with data movement is the disruption associated with cutting over to the new target. Synchronizing the source and target during a period of incremental copies, chipping away at locked, open or changed files can significantly reduce user disruption when it comes time to redirect traffic.

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Ten Recommendations for Simplified, Intelligence-Based Storage Management

  • 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12
  • Ten Recommendations for Simplified, Intelligence-Based Storage Management-6

    Reduce Cutover Windows

    One of the biggest challenges with data movement is the disruption associated with cutting over to the new target. Synchronizing the source and target during a period of incremental copies, chipping away at locked, open or changed files can significantly reduce user disruption when it comes time to redirect traffic.

Data is the lifeblood of every organization, and as people and applications continue to generate more and more data, companies are struggling to keep up with capacity demand. This problem is felt most acutely with unstructured data – the fastest growing component of today's data center. To keep pace with and take advantage of the data, organizations are shifting to scale-out NAS architectures, object storage and advanced analytics that harness the power of Hadoop. But, to make this transformation a success requires automation and storage intelligence.

In this slideshow, Data Dynamics' CEO Piyush Mehta outlines 10 key recommendations for simplified, intelligence-based storage management.