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US Patent 11503107 Integrating logic in micro batch based event processing systems

Patent 11503107 was granted and assigned to Oracle on November, 2022 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Oracle
Oracle
Current Assignee
Oracle
Oracle
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11503107
Date of Patent
November 15, 2022
Patent Application Number
16950127
Date Filed
November 17, 2020
Patent Citations
‌
US Patent 10713249 Managing snapshots and application state in micro-batch based event processing systems
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US Patent 10789250 Non-intrusive monitoring output of stages in micro-batch streaming
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US Patent 10958714 Framework for the deployment of event-based applications
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US Patent 10795935 Automated generation of job flow definitions
‌
US Patent 10095547 Stream processing at scale
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US Patent 10120907 Scaling event processing using distributed flows and map-reduce operations
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US Patent 10217256 Visually exploring and analyzing event streams
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US Patent 10552161 Cluster graphical processing unit (GPU) resource sharing efficiency by directed acyclic graph (DAG) generation
...
Patent Primary Examiner
‌
Kristie D Shingles
CPC Code
‌
H04L 67/10
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G06F 16/24568
‌
G06F 16/9024

A distributed event processing system is disclosed that receives continuous data streams, registers a continuous query against the data streams, and continuously executes the query as new data appears in the streams. In certain embodiments, the distributed event processing system deploys and executes applications (e.g., event processing applications) by distributing the execution of the application on a cluster of machines within the system. In certain embodiments, the system provides users with the ability to specify logical rules in an application. The system processes the logical rules by generating a DAG of transformations representing the logical rules and converts the DAG of transformations into a logical rules Resilient Distributed Dataset (RDD) DAG of transformations. The system processes events in an event batch against the RDD DAG of transformations to generate a set of output results for the user.

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