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:
Jan. 30, 2024

Filed:

Feb. 01, 2022
Applicant:

Cazena, Inc., Waltham, MA (US);

Inventors:

Pratyush Moghe, Acton, MA (US);

Peter Thomas Smith, Mansfield, MA (US);

Craig Steven Harris, Chestnut Hill, MA (US);

Mineharu Takahara, Natick, MA (US);

Lovantheran Chetty, Somerville, MA (US);

Daniel Dietterich, Cambridge, MA (US);

Assignee:

Cazena, Inc., Waltham, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 41/14 (2022.01); H04L 41/0896 (2022.01); H04L 41/22 (2022.01); H04L 41/0893 (2022.01); H04L 41/5041 (2022.01); H04L 41/147 (2022.01); H04L 43/091 (2022.01); H04L 43/0888 (2022.01); H04L 41/50 (2022.01);
U.S. Cl.
CPC ...
H04L 41/14 (2013.01); H04L 41/0893 (2013.01); H04L 41/0896 (2013.01); H04L 41/145 (2013.01); H04L 41/147 (2013.01); H04L 41/22 (2013.01); H04L 41/5041 (2013.01); H04L 43/0888 (2013.01); H04L 43/091 (2022.05); H04L 41/5096 (2013.01);
Abstract

A services platform acts as an intermediary between an existing enterprise analytic environment, and one or more underlying cloud service providers. The platform provides enterprise 'big data-as-a-service,' by which an enterprise can seamlessly and easily provision new capacity for processing its analytic workload, and migrate data sources (e.g., data warehouse marts, enterprise data warehouses, analytic sandboxes, and the like) to the cloud for processing. The platform provides end-to-end enterprise class manageability of enterprise data assets, from data collection, aggregation, movement, staging and processing, all while providing service levels, security, access and governance. The platform integrates directly but seamlessly into the enterprise analytic stack, and existing analytics applications work as normal. The platform provides a way for the enterprise to translate its workloads into clusters of compute resources that meet its service level requirements.


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