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US Patent 10404787 Scalable distributed data streaming computations across multiple data processing clusters

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Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent
1

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
1
Patent Number
104047871
Patent Inventor Names
Ofri Masad1
Patricia Gomes Soares Florissi1
Date of Patent
September 3, 2019
1
Patent Application Number
156831691
Date Filed
August 22, 2017
1
Patent Citations
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US Patent 10015106 Multi-cluster distributed data processing platform
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US Patent 10122806 Distributed analytics platform
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US Patent 10111492 Article of footwear with dynamic edge cavity midsole
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US Patent 10127352 Distributed data processing platform for metagenomic monitoring and characterization
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US Patent 10277668 Beacon-based distributed data processing platform
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US Patent 10270707 Distributed catalog service for multi-cluster data processing platform
Patent Citations Received
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US Patent 11954222 Systems and methods for accessing digital assets in a blockchain using global consent contracts
8
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US Patent 11494700 Semantic learning in a federated learning system
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US Patent 11442957 Cloud-based fiscal year variant conversion
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US Patent 11854707 Distributed data analytics
13
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US Patent 11853017 Machine learning optimization framework
14
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US Patent 11874817 Optimizing distributed and parallelized batch data processing
15
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US Patent 11474881 Optimizing distributed and parallelized batch data processing
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US Patent 10541936 Method and system for distributed analysis
...
Patent Primary Examiner
‌
Shean Tokuta
1
Patent abstract

An apparatus in one embodiment comprises at least one processing device having a processor coupled to a memory. The processing device is configured to initiate distributed data streaming computations across data processing clusters associated with respective data zones, and in each of the data processing clusters, to separate a data stream provided by a data source of the corresponding data zone into a plurality of data batches and process the data batches to generate respective result batches. Multiple ones of the data batches across the data processing clusters are associated with a global data batch data structure, and multiple ones of the result batches across the data processing clusters are associated with a global result batch data structure based at least in part on the global data batch data structure. The result batches are processed in accordance with the global result batch data structure to generate one or more global result streams.

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