ETL, ELT and Reverse ETL: A business case Study

Most organizations today rely heavily on their data warehouse to make enterprise level decisions. Data Warehouse pulls data from various heterogeneous sources and thus, when setting up a data warehouse, there are three ways to process data: ELT (Extract, Load and Transform), ETL (Extract, Transform and Load) and reverse ETL. It can be challenging to select the best approach when deciding how to implement a data warehouse because it has to do with costs, procedures, performance, and ongoing company improvement. In this paper, we'll be discussing the three approaches and their use cases.