ETL vs. ELT Which One Is Right for Your Organization? vs2 | ETL vs. EL T Where the transformation happens As part of the data integration workflow, data transformation is the process of preparing, formatting, and joining data for placement in a data repository or data warehouse for analytics. And for decades, the data transformation method of choice has been ETL (extract, transform, load). The point of data transformation is to format and structure data extracted from a source to be compatible with or to join the schema of the destination data warehouse. For data warehouses that are SQL (Structure Query Language) oriented, a data schema is necessary to ask questions of the data. Thus, transformation is performed before the data is loaded. Today, however, thanks to the rise of new-g

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