Bank of America Corporation

Vinod Patil

Nadeem Panjwani

Paul Eric Hazboun

Douglas J Goddard

Sudheer Konduru

Sravan Mateti

Pritika Bhatia

Jabir M Ahammed

In entity transition from legacy systems to a big data distributed data platform, numerous system-based architectural gaps have surfaced. There exists a need for a bridge component for each of the architectural gaps in order to support the entity transition to the big data distributed data platform. These bridge components include a variety of frameworks that are configured to automate certain processes that are needed for the transition. These processes have only become necessary as a result of the Hadoop platform. The automated processes include a snapshot load platform. The snapshot load platform enables the addition of a new view to the historical tables. The platform includes replacing the entire table in a truncated scenario. The platform includes replacing cases in a refresh or update scenario.

View tables framework

Current systems for synchronizing multiple database systems suffer from technical drawbacks. For example, archive jobs run on a second database system are typically started independently of operational jobs that are run on a first database system and generate the output data that needs to be archived. The lack of synchronization between first and second database systems delays access to the output data from within the second database system. Apparatus and methods described herein synchronize migration of output data generated by a first database system into a second database system, despite incompatibility between the first and second database systems. Apparatus and methods may synchronize the second database system such that it archives output data generated by the first database system within a target time of successful generation of output data by the first database system.

Jobs synchronize framework

Snapshot load framework

Condenser framework

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Dallas, TX, United States of America

Vinod Patil