Paypal, Inc.

Nalini Johnas

Prashant Jamkhedkar

Durga Rathinasamy

Jose Smithesh Joseph

Viswanathan Varadarajan

Tariq Akhtar Shaikh

Senthil Vellaichamy

Ravinder Dhamija

Rajagopal Ramakrishnan

Daniel Oing

Venkateshan Sundaram

Methods and systems are presented for collectively storing, managing, and analyzing data associated with different data sources. A data management system defines an enterprise data model schema based on different data model schemas associated with the different data sources. The data management system generates, for each data source, an enterprise data model instance based on the enterprise data model schema. Data is ingested from the different data sources, and then transformed and stored in a corresponding enterprise data model instance based on a mapping between a corresponding data model schema and the enterprise data model schema. Upon ingesting the data from the data sources, one or more consolidated data views are generated that combine at least portions of data from different enterprise data model instances. The data arranged according to the one or more consolidated data views is presented on a device and/or further analyzed to produce an analysis outcome.

Enterprise data management platform

Security control framework for an enterprise data management platform

Data quality control in an enterprise data management platform

Growing community of inventors

Newark, CA, United States of America

Nalini Johnas