Jpmorgan Chase Bank, N.a.

Grant Poladian

Matthew Yazdi

Manish Doshi

Fazil Syed

Yue Lin

Sachin Narhari Katakdound

Smitha Vijayendra

Systems and methods for ingesting and enhancing data in a distributed processing framework. The system includes at least a data ingestion system configured to access data or datasets from one or more data sources. The data is accessed via the data ingestion system and includes metadata defining a plurality of attributes. The attributes are identified in the metadata, via the data ingestion system, and may be applied to the data or dataset for enhancing the data or dataset. Application of the attributes to the data results in enhancements that may include joining the data, enriching the data, or other enhancements accomplished via manipulation of the data via the data ingestion system.

Metadata driven combined real-time and batch data ingestion framework with real-time multi-view generation

Systems and methods for populating data in a client specific repository in a public cloud infrastructure is described. The system includes a private master data repository (MDR) implemented in a private network and having data stored therein. A client submits a data request to access the MDR and to perform an operation on data within the MDR. The data request may include information for identifying the client and information for determining whether the client is authorized to perform the requested operation. The system further includes a persistence mechanism configured to interface with the MDR in response to the data request. Upon verifying the client is authorized to access the MDR, the persistence mechanism may be configured to provision a directory in the public cloud infrastructure and to create and populate data in the client specific repository as a persistent state of the data in the MDR.

Mechanism for replication and population of a data subset in Hadoop from a private network to a public cloud instance

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Jersey City, NJ, United States of America

Grant Poladian