Invention Grant
- Patent Title: Decoupled scalable data engineering architecture
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Application No.: US16891845Application Date: 2020-06-03
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Publication No.: US11620477B2Publication Date: 2023-04-04
- Inventor: Bryan Wayne Collins , Eric Paver Simon , Alain Charles Briancon , Mirza Safiullah Baig , Yarden Arane , Wenjie Wu , Divya Karumuri , Kevin Bryce
- Applicant: Cerebri AI Inc.
- Applicant Address: US TX Austin
- Assignee: Cerebri AI Inc.
- Current Assignee: Cerebri AI Inc.
- Current Assignee Address: US TX Austin
- Agency: Pillsbury Winthrop Shaw Pittman LLP
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06K9/62 ; G06F8/20 ; G06N20/20 ; G06F8/10 ; G06F8/30 ; G06Q40/08 ; G06F8/36 ; G06F16/25 ; G06F9/445 ; G06N5/04 ; G06Q10/0631 ; G06Q10/0637 ; G06Q10/0639 ; G06Q10/067 ; G06Q30/012 ; G06Q30/016 ; G06Q30/0204 ; G06Q40/02 ; G06Q30/0202

Abstract:
Provided is a process including: writing classes using object-oriented modelling of modeling topics; scanning the classes to determine class definition information; receiving from a subscribing modeling object a request for a subscription to a given modeling topic in a given modeling topic class, the subscription request including a modeling topic filter to select the given modeling topic from a plurality of modeling topics described by the given modeling topic class; registering a modeling topic accessor associated with the subscribing modeling object and a modeling topic mutator associated with the subscribing modeling object; processing, through the modeling topic filter a modeling topic that is accessed through an accessor and is described by the modeling topic class, the modeling topic being received from a modeling publisher object; notifying the subscribing object of the received modeling topic through a registered modeling topic listener; and mutating the received modeling topic.
Public/Granted literature
- US20200380183A1 DECOUPLED SCALABLE DATA ENGINEERING ARCHITECTURE Public/Granted day:2020-12-03
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