公开(公告)号：US20230205741A1

公开(公告)日：2023-06-29

申请号：US17686253

申请日：2022-03-03

Applicant: PAYPAL, INC.

Inventor： Prashant Jamkhedkar ,  Nalini Johnas ,  Ravinder Dhamija ,  Daniel Oing ,  Senthil Vellaichamy ,  Durga Rathinasamy ,  Rajagopal Ramakrishnan ,  Jose Smithesh Joseph ,  Tariq Akhtar Shaikh ,  Venkateshan Sundaram ,  Viswanathan Varadarajan

IPC: G06F16/215 ,  G06F16/25 ,  G06F16/23

CPC classification number: G06F16/215 ,  G06F16/258 ,  G06F16/2393

Abstract: 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.

公开(公告)号：US12210496B2

公开(公告)日：2025-01-28

申请号：US17686294

申请日：2022-03-03

Applicant: PAYPAL, INC.

Inventor： Nalini S. Johnas ,  Ravinder Dhamija ,  Prashant Jamkhedkar ,  Tariq Akhtar Shaikh ,  Venkateshan Sundaram ,  Viswanathan Varadarajan ,  Daniel Oing ,  Senthil Vellaichamy ,  Durga Rathinasamy ,  Rajagopal Ramakrishnan ,  Jose Smithesh Joseph

IPC: G06F16/21 ,  G06F16/215 ,  G06F16/22 ,  G06F16/23 ,  G06F16/25

Abstract: 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.

公开(公告)号：US12130785B2

公开(公告)日：2024-10-29

申请号：US17686272

申请日：2022-03-03

Applicant: PAYPAL, INC.

Inventor： Prashant Jamkhedkar ,  Nalini Johnas ,  Ravinder Dhamija ,  Daniel Oing ,  Senthil Vellaichamy ,  Durga Rathinasamy ,  Rajagopal Ramakrishnan ,  Jose Smithesh Joseph ,  Tariq Akhtar Shaikh ,  Venkateshan Sundaram ,  Viswanathan Varadarajan

IPC: G06F16/21 ,  G06F16/215 ,  G06F16/23 ,  G06F16/25

CPC classification number: G06F16/215 ,  G06F16/2393 ,  G06F16/258

Abstract: 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.

公开(公告)号：US20230205743A1

公开(公告)日：2023-06-29

申请号：US17686294

申请日：2022-03-03

Applicant: PAYPAL, INC.

Inventor： Nalini S. Johnas ,  Ravinder Dhamija ,  Prashant Jamkhedkar ,  Tariq Akhtar Shaikh ,  Venkateshan Sundaram ,  Viswanathan Varadarajan ,  Daniel Oing ,  Senthil Vellaichamy ,  Durga Rathinasamy ,  Rajagopal Ramakrishnan ,  Jose Smithesh Joseph

IPC: G06F16/215 ,  G06F16/22 ,  G06F16/25 ,  G06F16/23

CPC classification number: G06F16/215 ,  G06F16/22 ,  G06F16/258 ,  G06F16/2393

Abstract: 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.

公开(公告)号：US20230205742A1

公开(公告)日：2023-06-29

申请号：US17686272

申请日：2022-03-03

Applicant: PAYPAL, INC.

Inventor： Prashant Jamkhedkar ,  Nalini Johnas ,  Ravinder Dhamija ,  Daniel Oing ,  Senthil Vellaichamy ,  Durga Rathinasamy ,  Rajagopal Ramakrishnan ,  Jose Smithesh Joseph ,  Tariq Akhtar Shaikh ,  Venkateshan Sundaram ,  Viswanathan Varadarajan

IPC: G06F16/215 ,  G06F16/25 ,  G06F16/23

CPC classification number: G06F16/215 ,  G06F16/258 ,  G06F16/2393

Abstract: 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.