Consolidating analytics metadata
AssigneeDataGravity, Inc.
InventorsPaula Long, Eric K. McCall, Dmitry Bochkov, Misha Zelikov, Bryan Keith Panner
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AssigneeDataGravity, Inc.
InventorsPaula Long, Eric K. McCall, Dmitry Bochkov, Misha Zelikov, Bryan Keith Panner
Estimating the term…
A single system merges primary data storage, data protection, and intelligence. Intelligence is provided through in-line data analytics, and data intelligence and analytics are gathered on protected data and prior analytics, and stored in discovery points, all without impacting performance of primary storage. As data is written it is automatically mirrored for data protection as part of a High Availability (HA) process. Real-time analysis is done in-line with the HA processing, enabling a variety of data analytics. Data content can mined from within files or blocks. The gathered intelligence is used to tag objects with extended metadata, enabling both valuable search options and rapid restore options. Data recovery begins with metadata restoration, followed by near-instantaneous access to “hot” regions of data being restored, allowing site operation to continue or resume while a restore is ongoing.
A method for handling data in a data storage system comprising:
A primary storage, high availability and data analytics system comprising:
Dependencies are inferred from the claim text.