MACHINE LEARNING BASED DATABASE MANAGEMENT
    1.
    发明申请

    公开(公告)号:US20190065985A1

    公开(公告)日:2019-02-28

    申请号:US15684796

    申请日:2017-08-23

    Applicant: SAP SE

    Abstract: A method for machine learning based database management is provided. The method may include training a machine learning model to detect an anomaly that is present and/or developing in a database system. The anomaly in the database system may be detected by at least processing, with a trained machine learning model, one or more performance metrics for the database system. In response to detecting the presence of the anomaly at the database system, one or more remedial actions may be determined for correcting and/or preventing the anomaly at the database system. The one or more remedial actions may further be sent to a database management system associated with the database system. Related systems and articles of manufacture are also provided.

    INTEGRATED SOFTWARE TESTING AND DEPLOYMENT TRACKER

    公开(公告)号:US20190065342A1

    公开(公告)日:2019-02-28

    申请号:US15686751

    申请日:2017-08-25

    Applicant: SAP SE

    Abstract: A method may include generating a first tracking object corresponding to at least one change to a software product. The at least one change may be a part of a first update to the software product. The at least one change may have an implementation that requires a completion of a task associated with a second tracking object at another system. The second tracking object may be configured to at least determine when the task is complete. An indication that the task is complete may be received from the second tracking object. In response to receiving the indication, the first tracking object may test the at least one change. In response to the at least one change failing to pass the testing, the second tracking object may be added to a third tracking object associated with a second update to the software product.

    Machine learning based database management

    公开(公告)号:US11106996B2

    公开(公告)日:2021-08-31

    申请号:US15684796

    申请日:2017-08-23

    Applicant: SAP SE

    Abstract: A method for machine learning based database management is provided. The method may include training a machine learning model to detect an anomaly that is present and/or developing in a database system. The anomaly in the database system may be detected by at least processing, with a trained machine learning model, one or more performance metrics for the database system. In response to detecting the presence of the anomaly at the database system, one or more remedial actions may be determined for correcting and/or preventing the anomaly at the database system. The one or more remedial actions may further be sent to a database management system associated with the database system. Related systems and articles of manufacture are also provided.

Patent Agency Ranking