Frequently asked questions

HPE Data Management Framework 7

1. What's new about HPE Data Management Framework 7?

HPE Data Management Framework 7 introduces a new architecture that provides a modern, open source-based foundation for greater scalability and performance, along with new functionality such as namespace metadata capture, point-in-time recovery, and the ability to create, manage, and stage dynamic namespaces. Some of the technology used includes:
  • Cassandra NoSQL database for scalable metadata capture
  • Mesos for component orchestration across an HPE Data Management Framework cluster
  • Spark in-memory analytical engine as a metadata-aware query and policy engine
  • Kafka queue for scalable file system event processing

2. Can HPE Data Management Framework help me to create data sets?

HPE Data Management Framework 7 supports customer-defined, extended attributes for POSIX files. For example, it is possible to add project name, location data, source device, and any other relevant data that can be used to catalog, search, or otherwise organize the data. HPE Data Management Framework can search namespace reflections based on file metadata, including extended attributes, allowing easy, quick, and precise identification and collection of the files required for a data set.

3. I want to automate my data workflows, but my scripts get too complex and are hard to manage. Is there a way to automate workflows with HPE Data Management Framework?

Yes, HPE Data Management Framework includes an integrated policy manager, which allows the creation of rules to help manage data. Rules can be scheduled to run given certain conditions, for example, archive files that are 2 years old, as well as to execute data management actions, for example, move files to a particular storage tier. The integrated policy engine allows data management workflows to be streamlined and automated.