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US Patent 10528599 Tiered data processing for distributed data

Patent 10528599 was granted and assigned to Amazon on January, 2020 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Amazon
Amazon
Current Assignee
Amazon
Amazon
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10528599
Date of Patent
January 7, 2020
Patent Application Number
15382326
Date Filed
December 16, 2016
Patent Citations Received
‌
US Patent 11501256 Digital processing systems and methods for data visualization extrapolation engine for item extraction and mapping in collaborative work systems
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US Patent 11501255 Digital processing systems and methods for virtual file-based electronic white board in collaborative work systems
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US Patent 11500875 Multi-partitioning for combination operations
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US Patent 11507738 Digital processing systems and methods for automatic updates in collaborative work systems
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US Patent 11526661 Digital processing systems and methods for integrated communications module in tables of collaborative work systems
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US Patent 12118401 Digital processing systems and methods for facilitating the development and implementation of applications in conjunction with a serverless environment
0
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US Patent 11475215 Digital processing systems and methods for dynamic work document updates using embedded in-line links in collaborative work systems
‌
US Patent 11475408 Digital processing systems and methods for automation troubleshooting tool in collaborative work systems
...
Patent Primary Examiner
‌
Yuk Ting Choi
Patent abstract

Data processing engines implement tiered data processing for distributed data in local and remote data stores. Requests to access distributed data including a data object in a remote data store are received at a data processing engine. A query plan is generated to service the access request. Different operations in the query plan are identified and assigned to one or more remote query processing engines that may access the remote data object. Requests to perform the different operations are sent to the one or more remote query processing engines. A final result is generated for the request based on the results received for the different operations from the remote query processing engine and results from operations performed with respect to locally stored data.

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