Creating an Azure Data Factory Instance

A major responsibility of the data engineer is the development and management of extract, transform, and load (ETL) and other data integration workloads. Real-time integration workloads process data as it is generated – for example, a transaction being recorded at a point-of-sale terminal or a sensor measuring the temperature in a data center. In contrast, batch integration workloads run at intervals, usually processing data produced since the previous batch run.