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:
Apr. 14, 2025

Filed:

Jul. 11, 2023
Applicant:

Hewlett Packard Enterprise Development Lp, Spring, TX (US);

Inventors:

Ted Dunning, Santa Clara, CA (US);

Suparna Bhattacharya, Bangalore, IN;

Glyn Bowden, Bristol, GB;

Lin A. Nease, San Jose, CA (US);

Janice M. Zdankus, San Jose, CA (US);

Sonu Sudhakaran, Bangalore, IN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/248 (2018.12); G06F 16/2455 (2018.12); G06F 16/25 (2018.12); G06F 16/28 (2018.12);
U.S. Cl.
CPC ...
G06F 16/248 (2018.12); G06F 16/24556 (2018.12); G06F 16/254 (2018.12); G06F 16/288 (2018.12);
Abstract

Systems and methods provide a system that gathers information about data as it progresses through data processing pipelines of data analysis projects. The data analytics system derives value indicators and implicit metadata from the data processing pipelines. For example, the data analytics system may derive value indicators and implicit metadata from data-related products themselves, semantic analysis of the code/processing steps used to process the data-related products, the structure of data processing pipelines, and human behavior related to production and usage of data-related products. Once a new data analysis project is initiated, the data analytics system gathers parameters and characteristics about the new data analysis project and references the value indicators and implicit metadata to recommend useful processing steps, datasets, and/or other data-related products for the new data analysis project.


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