Invention Grant
- Patent Title: Low-latency predictive database analysis
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Application No.: US16681208Application Date: 2019-11-12
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Publication No.: US11023486B2Publication Date: 2021-06-01
- Inventor: Sanjay Agrawal , Antony Chuxiao Chen , Gunjan Jha
- Applicant: ThoughtSpot, Inc.
- Applicant Address: US CA Sunnyvale
- Assignee: ThoughtSpot, Inc.
- Current Assignee: ThoughtSpot, Inc.
- Current Assignee Address: US CA Sunnyvale
- Agency: Young Basile Hanlon & MacFarlane, P.C.
- Main IPC: G06F16/26
- IPC: G06F16/26 ; G06F16/242 ; G06F16/2457 ; G06F16/248

Abstract:
Low-latency autonomous-analysis includes obtaining data expressing a usage intent with respect to a low-latency database analysis system that intent omits data corresponding to user input expressly requesting low-latency autonomous-analysis, obtaining requested results data based on the data expressing the usage intent, outputting requested visualization data representing at least a portion of the requested results data for presentation to a user, and, in response to outputting the requested visualization data, obtaining low-latency autonomous-analysis data by performing low-latency autonomous-analysis based on the data expressing the usage intent by identifying an autonomous-analysis predicate based on the requested visualization data, obtaining a defined autonomous-analysis latency constraint, obtaining the low-latency autonomous-analysis data based on the autonomous-analysis predicate in accordance with the defined autonomous-analysis latency constraint, such that the low-latency autonomous-analysis data differs from the requested results data, and outputting at least a portion of the low-latency autonomous-analysis data for presentation to a user.
Public/Granted literature
- US20200151191A1 Low-Latency Predictive Database Analysis Public/Granted day:2020-05-14
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