How Incremental ETL Makes Life Simpler With Data Lakes

1 · Michael Xu · Aug. 30, 2021, 7:04 p.m.
Incremental ETL (Extract, Transform and Load) in a conventional data warehouse has become commonplace with CDC (change data capture) sources, but scale, cost, accounting for state and the lack of machine learning access make it less than ideal. In contrast, incremental ETL in a data lake hasn’t been possible due to factors such as the... The post How Incremental ETL Makes Life Simpler With Data Lakes appeared first on Databricks....