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Features

Additional Resources

Features
Features

Maximize your HPE Data Management Framework 7

What's New

  • A scalable database. The data base is distributed across nodes for higher system availability, is scalable to billions of files, and delivers high performance for queries.
  • Namespace reflection. Maintain a reflection of managed file systems and use it for data management operations instead of compromising the performance of the file system metadata servers.
  • Support for extensible metadata. Administrators can use metadata to customize queries, use extensible metadata for policy management and create personalized data sets from associated files.
  • Data curation. Users can stage their files into an independent back end data base for long term curation. Later, users can locate and recall their files to an entirely different file system.
  • Query engine. Administrators, users, and the built-in policy management engine all use a common query tool to locate files and filter the results.
  • Native file system integration. Native integration uses the standard tool set for Lustre and Spectrum Scale to increase utilization and automate data management operations.
HPC/AI Applications are Data Rich, and Data Must be Protected -

HPE Data Management Framework 7 creates immutable versions of files and takes snapshots of the namespace reflection. Managed via an administrator policy, recovery can be customized for lowest RTO from disk, lowest cost from tape, and/or from remote locations via S3/cloud.

Read More {"title":"HPC/AI Applications are Data Rich, and Data Must be Protected","keyList":["HPE Data Management Framework 7 creates immutable versions of files and takes snapshots of the namespace reflection. Managed via an administrator policy, recovery can be customized for lowest RTO from disk, lowest cost from tape, and/or from remote locations via S3/cloud.","Loss of the file system due to failure has catastrophic impact upon availability of the high performance compute cluster. Even when a file system has tools for repairing, the complexity and time it takes to repair a broken file system can extend the compute outage beyond acceptable SLAs.","Up to now, protecting file systems and data has been a costly investment with imposing drawbacks, including the lack of backup windows, backup utilities that are sub-optimized, optimized for PB-sized parallel file systems, and the negative impact upon performance from scanning file system metadata."]}
The Emergence of Exascale Computing is Challenging the Scaling Limits of Legacy HPC Storage +
HPC/AI Storage Environments are Diverse and Data has to be Portable +
Reducing HPC Storage Costs Means More Budget for Compute +

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