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US Patent 10437847 Transformation based sampling for preprocessing big data

Patent 10437847 was granted and assigned to Trifacta on October, 2019 by the United States Patent and Trademark Office.

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent

Patent attributes

Patent Applicant
Trifacta
Trifacta
Current Assignee
Trifacta
Trifacta
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10437847
Patent Inventor Names
Sean Philip Kandel7
Adam Eli Silberstein7
Alon Shulim Bartur7
Edward Eli Marschner7
Philip John Vander Broek7
Wei Zheng7
Date of Patent
October 8, 2019
Patent Application Number
15143044
Date Filed
April 29, 2016
Patent Citations Received
‌
US Patent 12013872 Nested sorting of data marks in data visualizations
1
‌
US Patent 11593392 Transformation rule generation and validation
‌
US Patent 11327997 Nested sorting of data marks in data visualizations
‌
US Patent 11868362 Metadata extraction from big data sources
4
‌
US Patent 11487708 Interactive visual data preparation service
Patent Primary Examiner
‌
Hares Jami
Patent abstract

A system determines samples of datasets that are typically processed by big data analysis systems. The samples are for use for development and testing of transformations for preprocessing the datasets in preparation for analysis by big data systems. The system receives one or more transform operations input datasets for the transform operations. The system determines samples associated with the transform operations. According to a sampling strategy, the system determines samples that return at least a threshold number of records in the result set obtained by applying a transformation. According to another sampling strategy, the system receives criteria describing the result of the transform operations and determines sample sets that generate result sets satisfying the criteria as a result of applying the transform operations.

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