Sap Se

Suchit Mathur

Ashwini Deshpande

Indu Venugopal

Anup Kumar Rai

The present disclosure involves analyzing data relevancy of particular fields within one or more databases in a big data system. In one example method, an interaction with at least one of a plurality of monitored data sources is identified, wherein the identified interactions is associated with a particular field of a database table of one of the monitored data sources. A set of data associated with the interaction is determined which includes an identification of each field associated with the identified interaction and a count of a number of interactions associated with each particular field. A relevancy index table is updated to include the determined set of data, wherein each identified field is associated with a row in the index table. At least one relevancy rule is identified for the relevancy index table and is executed to generate a relevancy score for at least one of the fields.

Data relevancy analysis for big data analytics

A method, implemented at least in part by a computing device, for software upgrade analysis includes receiving a selection of at least one object class of a plurality of available object classes. One or more application programming interface (API) calls may be retrieved from a plurality of API calls based on the received selection. A test definition may be generated based at least in part on the one or more API calls. A first test may be executed by using the one or more API calls in the test definition within a software environment. The first test is run on the software environment prior to upgrading the environment. Subsequent to upgrading the environment, a second test is executed by using the one or more API calls within the upgraded software environment. A software upgrade report is generated based on a comparison of test results from the first and second tests.

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Bengaluru, India

Suchit Mathur