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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.

Patent No.:

US 10983963 B1

PDFFull Text
Date of Patent:
Apr. 20, 2021

Filed:

Sep. 24, 2018

Automated discovery, profiling, and management of data assets across distributed file systems through machine learning

Applicant:

Hortonworks Inc., Santa Clara, CA (US);

Inventors:

Srikanth Venkatasubramanian, Sunnyvale, CA (US);

Babu Prakash Rao, Bangalore, IN;

Hemanth Yamijala, Bangalore, IN;

Rohit Choudhary, Bangalore, IN;

Raghumitra Kandikonda, Bangalore, IN;

Assignee:

Cloudera, Inc., Palo Alto, CA (US);

Attorney:

Staniford Tomita LLP

Primary Examiner:

Loc Tran

Int. Cl.
CPC ...
G06F 16/18 (2019.01); G06F 16/182 (2019.01); G06F 9/38 (2018.01); G06F 16/28 (2019.01); G06F 16/23 (2019.01); G06F 9/48 (2006.01); G06F 16/25 (2019.01); G06F 16/26 (2019.01); G06F 17/18 (2006.01);
U.S. Cl.
CPC ...
G06F 16/182 (2019.01); G06F 9/3891 (2013.01); G06F 9/4887 (2013.01); G06F 16/2358 (2019.01); G06F 16/254 (2019.01); G06F 16/26 (2019.01); G06F 16/285 (2019.01); G06F 17/18 (2013.01);
Abstract

Embodiments for locating, identifying and categorizing data-assets through advanced machine learning algorithms implemented by profiler components across Hadoop and Hadoop Compatible File Systems, databases and in-memory objects automatically and periodically to provide a visual representation of the category of data infrastructure distributed across data-centers and multiple clusters, for the purposes of enriching data quality, enabling data discovery and improving outcomes from downstream systems.

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