The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 10, 2024

Filed:

Jan. 14, 2022
Applicant:

Fidelity Information Services, Llc, Jacksonville, FL (US);

Inventors:

Aaron David Colcord, Mequon, WI (US);

Kevin Richard Mellott, Muskego, WI (US);

David Vincente Favela, Penngrove, CA (US);

Jeffrey Chee-Keong Neong, Windsor, CA (US);

Assignee:

Fidelity Information Services, LLC, Jacksonville, FL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/2457 (2019.01); G06F 9/30 (2018.01); G06F 9/38 (2018.01); G06F 9/54 (2006.01); G06F 16/21 (2019.01); G06F 16/22 (2019.01); G06F 16/2458 (2019.01); G06F 16/28 (2019.01); G06F 21/31 (2013.01); G06F 21/54 (2013.01); G06F 21/60 (2013.01); G06F 21/62 (2013.01);
U.S. Cl.
CPC ...
G06F 16/2457 (2019.01); G06F 9/3005 (2013.01); G06F 9/3867 (2013.01); G06F 9/541 (2013.01); G06F 9/544 (2013.01); G06F 16/211 (2019.01); G06F 16/221 (2019.01); G06F 16/24573 (2019.01); G06F 16/2465 (2019.01); G06F 16/2471 (2019.01); G06F 16/285 (2019.01); G06F 21/31 (2013.01); G06F 21/54 (2013.01); G06F 21/602 (2013.01); G06F 21/6227 (2013.01); G06F 21/6254 (2013.01); G06F 2221/2141 (2013.01);
Abstract

A data analytics system configured to perform operations is disclosed. The operations can include creating, in response to instructions received from a user, a first pipeline. This pipeline can be configured to extract data from an append-only first data store, extract identifying characteristics from the extracted data, provide the identifying characteristics to an identity service, and receive a tenancy identifier from the identity service. The pipeline can further be configured to create a data object in a second data store using the extracted data; create a tenancy object in a metadata store, the tenancy object associated with the data object, the metadata store implementing a hierarchical data object ownership graph; and associate the tenancy object with a parent object in the hierarchical data object ownership graph. The data analytics system can then tear down the first pipeline.


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