Sap Se

Helmut Fieres

Roman A Rapp

Guenter Briam

Klaus Dickgiesser

Olena Kushakovska

Jean-Pierre Djamdji

Emmanuel Turci

Venkatesh R

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.

Machine learning based database management

In an embodiment, a method is presented for providing managerial access to a managed system. In this method, a definition of a procedure to be performed on the managed system is received into a managing system. A request to perform the procedure is received into the managing system from a user of the managing system. The procedure is performed in response to the request. The performing of the procedure includes initiating a plurality of functions resident in the managed system. Results indicative of the performing of the procedure are presented to the user of the managing system.

Computer-based system management by a separate managing system

Growing community of inventors

Malsch, Germany

Helmut Fieres