DATA TRANSFORMATION IN INGESTION PROCESSES VIA WORKFLOWS UTILIZING SEQUENCES OF ATOMIC FUNCTIONS

摘要

Systems and method are provided for data flattening. A corpus of data is extracted from at least one data source and stored at a data warehousing platform. A workflow is applied to the extracted corpus of data to provide a transformed corpus of data. The workflow includes a sequence of atomic functions selected from a library of atomic functions to perform an associated task on the corpus of data. The transformed corpus of data is provided from the data warehousing platform to a machine learning model as a set of training data