METHOD AND SYSTEM USING MACHINE LEARNING TECHNIQUES FOR CHECKING DATA INTEGRITY IN A DATA WAREHOUSE FEED

摘要

This disclosure provides a method and system to perform data integrity checks in a data warehouse (DWH) feed using machine-learning (ML) processes. According to an exemplary method, a ML integrity check is performed on received data which has been extracted from a plurality of source files, and after ML processes validate the extracted data, the validated data is transformed and loaded to a DWH.