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.:
Date of Patent:
Oct. 09, 2018
Filed:
Oct. 23, 2015
Numerify, Inc., Cupertino, CA (US);
Rahul Kapoor, Sunnyvale, CA (US);
Gaurav Rewari, Cupertino, CA (US);
Renu Chintalapati, San Ramon, CA (US);
Aravind Sridharan, San Jose, CA (US);
Ravishankar Muniasamy, Bangalore, IN;
Florian Schouten, Wayland, MA (US);
David Shenk, Campbell, CA (US);
Srinivas M. Vedagiri, Karnataka, IN;
Numerify, Inc., San Jose, CA (US);
Abstract
An automated system for validating and refining a template warehouse star schema for a customized data source. The system based on automatically gathered information from the data source such as custom entities and constituent columns, data type and length of custom columns, custom entity keys, relationships of custom entities with other entities, relationships within custom entities, contribution of custom entities to specialized entities, update frequency of custom entities and columns including grouping of updates, frequently used expressions on custom columns and contribution of custom entities and columns to workflow and correlated attributes automatically determines facts, dimensions, dimension hierarchies, measures, workflow specific measures (if data source has workflows) and workflow correlated attribute specific measures (if data source has temporal, priority, ownership and progress tracking workflow correlated attributes) to validate and refine the star schema of the template warehouse to accommodate customizations of the data source.