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US Patent 10430437 Automated archival partitioning and synchronization on heterogeneous data systems

Patent 10430437 was granted and assigned to BANK OF AMERICA CORPORATION on October, 2019 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
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Current Assignee
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
104304370
Patent Inventor Names
Venugopal Purushothaman0
Chandan Yadu Varaha Vedagiri0
Date of Patent
October 1, 2019
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Patent Application Number
154275260
Date Filed
February 8, 2017
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Patent Citations
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US Patent 10216744 Data migration to a cloud computing system
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US Patent 10270852 Data migration apparatus and system
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US Patent 10162873 Synchronization of physical disks
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US Patent 10210232 Automated staged data migration
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US Patent 10241814 Virtual machine memory migration by storage
Patent Citations Received
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US Patent 11423008 Generating a data lineage record to facilitate source system and destination system mapping
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US Patent 11669548 Partial table and multisource synchronization for databases
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US Patent 11475046 Partial table and multisource synchronization for databases
Patent Primary Examiner
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Kim T Nguyen
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Patent abstract

Disclosed is a system for automated archival and synchronization that includes a processor and a memory, wherein archival, partition, and synchronization applications are stored in the memory. The system is typically configured for: identifying triggering of an event and establishing a communication link between a source system and a destination system, determining that the event meets archival criteria and initiating archival process, wherein the archival process comprises determining that a first configuration of the source system does not match the second configuration of the destination system and synchronizing the second configuration with the first configuration, migrating a first set of data from the source system to update a second set of data in the destination system based on determining a change in the first set of data, and compressing the updated second set of data in the destination system.

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