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公开(公告)号:US11108661B1
公开(公告)日:2021-08-31
申请号:US16280397
申请日:2019-02-20
Applicant: Cloudera, Inc.
Inventor: Charu Anchlia , Sushil Thomas
IPC: G06F15/173 , H04L12/26 , G06F16/9538 , H04L29/06 , H04L12/24
Abstract: A machine has a bus and a network interface circuit to receive different data streams from a network. The network interface circuit is connected to the network and the bus. A processor is connected to the bus. A memory is connected to the bus. The memory stores instructions executed by the processor to continuously increment aggregate functions associated with data parameters within the different data streams. Visualizations of the different data streams are periodically updated on different client devices connected to the network.
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公开(公告)号:US20230267377A1
公开(公告)日:2023-08-24
申请号:US18174497
申请日:2023-02-24
Applicant: Cloudera, Inc.
Inventor: Sushil Thomas , Jeanne Schaser , Andrew Reed , Melanie Beck , Alex Bleakley , Yuya Yabe , Yi Hsun Tsai , Patrick David Hunt , Subhadeep Sinha , Victor Chukwuma Dibia , Christopher James Wallace , Jeffrey George Fletcher , Ofek Gila
IPC: G06N20/00
CPC classification number: G06N20/00
Abstract: Development of machine learning models and applications tends to be iterative and complex, made even harder because most of the necessary tools are not built for the entire machine learning lifecycle. Introduced here is a data platform that is able to accelerate time-to-value by enabling users to utilize applied machine learning prototypes (“AMPs”) made by others. These AMPs may be extendable, by the data platform, to new datasets, allowing machine learning to be developed and deployed more rapidly.
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公开(公告)号:US11016947B1
公开(公告)日:2021-05-25
申请号:US15385802
申请日:2016-12-20
Applicant: Cloudera, Inc.
Inventor: Priyank Patel , Anjali Betawadkar-Norwood , Douglas J. Cameron , Shant Hovsepian , Sushil Thomas
IPC: G06F17/30 , G06F16/182 , G06F16/27 , G06F16/903
Abstract: A system has a distributed database with database partitions distributed across worker nodes connected by a network. An analytical view recommendation engine defines an analytical view comprising attributes and measures defined prior to the receipt of a query. The analytical view is maintained as a data unit separate from the distributed database. The analytical view recommendation engine includes instructions executed by a processor to identify a poorly performing report, evaluate queries associated with the poorly performing report, create a recommended analytical view to enhance the performance of the poorly performing report, and deploy the recommended analytical view.
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