Invention Grant
- Patent Title: Machine-learning driven database management
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Application No.: US16234666Application Date: 2018-12-28
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Publication No.: US11544236B2Publication Date: 2023-01-03
- Inventor: Douglas Paul Brown , Preeti Javaji
- Applicant: Teradata US, Inc.
- Applicant Address: US OH Dayton
- Assignee: Teradata US, Inc.
- Current Assignee: Teradata US, Inc.
- Current Assignee Address: US OH Dayton
- Agency: Howard Speight
- Main IPC: G06F16/00
- IPC: G06F16/00 ; G06F16/21 ; G06F16/2453 ; G06N5/04 ; G06N20/00

Abstract:
A machine-learning driven Database Management System (DBMS) is provided. One or more machine-learning algorithms are trained on the database constructs and execution plans produced by a database optimizer for queries. The trained machine-learning algorithms provide predictors when supplied the constructs and plans for a given query. The predictors are processed by the DBMS to make resource, scheduling, and Service Level Agreement (SLA) compliance decisions with respect to the given query.
Public/Granted literature
- US20200210387A1 Machine-Learning Driven Database Management Public/Granted day:2020-07-02
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