The current state of ETL (Extract, Transform, Load) relies on streaming architecture. This is largely due to streaming data computation becoming common with real-time data and with the exponential growth of big data. In traditional ETL, transformation mainly focuses on data cleansing. Nowadays, data transformation has a different definition as it involves data cleansing, enriching, applying business rules, etc.
