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:
Aug. 11, 2026

Filed:

Jun. 14, 2021
Applicant:

Adobe Inc., San Jose, CA (US);

Inventors:

Christopher Luby, Alpine, UT (US);

David Wilcox, Lehi, UT (US);

Eric Fox, Provo, UT (US);

Jeffery Lawson, Lehi, UT (US);

Kyle W. Smith, Draper, UT (US);

Matthew Gould, Spanish Fork, UT (US);

Michael Rimer, Saratoga Springs, UT (US);

Nathan A. Purser, Highland, UT (US);

Trevor Paulsen, Lehi, UT (US);

William Brandon George, Pleasant Grove, UT (US);

Assignee:

Adobe Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/215 (2019.01); G06F 16/22 (2019.01); G06F 16/242 (2019.01); G06F 16/28 (2019.01);
U.S. Cl.
CPC ...
G06F 16/215 (2019.01); G06F 16/2291 (2019.01); G06F 16/2423 (2019.01); G06F 16/283 (2019.01); G06F 16/285 (2019.01);
Abstract

The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating derived dimensions within ingested data collections. In particular, in one or more embodiments, the disclosed systems generate derived dimensions that modify or correct one or more organizational schemas of an ingested data collection when querying the ingested data collection. For example, the disclosed systems receive a user-defined definition, and generates a fallback expression based on the user-defined definition and aligned to the schema of a particular ingested data collection. In at least one embodiment, the disclosed systems generate the derived dimension by identifying and modifying one or more existing dimensions in the schema based on the fallback expression when reading data from the ingested data collection.


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