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:
Feb. 23, 2021

Filed:

Jul. 23, 2017
Applicant:

Atscale, Inc., San Mateo, CA (US);

Inventors:

Sarah Gerweck, Santa Clara, CA (US);

DaRen Drummond, Redwood City, CA (US);

Matthew Baird, Belmont, CA (US);

Assignee:

AtScale, Inc., San Mateo, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/21 (2019.01); G06F 16/215 (2019.01); G06F 16/23 (2019.01); G06F 16/28 (2019.01); G06Q 30/02 (2012.01);
U.S. Cl.
CPC ...
G06F 16/215 (2019.01); G06F 16/2379 (2019.01); G06F 16/283 (2019.01); G06Q 30/02 (2013.01);
Abstract

Techniques are presented for rule-based selection of alternate data sources for multidimensional data statements. A virtual multidimensional data model is implemented to represent datasets that are accessed at various data sources. Derivative cubes generated from the virtual multidimensional data model are structured to have a respective data source metadata layer that is populated at data statement execution time to identify a target data source. Data source selection rules are established to map the attributes of data statements to target data sources. The data source selection rules are evaluated subject to data statement attributes derived from detected data statements to dynamically select target data sources for the data statements. The derivative cubes codify, in their respective data source metadata layers, a unique set of data source attributes identifying the target data sources. The derivative cubes are accessed to facilitate execution of the data statements on datasets at the target data sources.


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