In most data projects, building the extract-transform-load (ETL) logic takes a significant amount of time. Enterprise ETL processes must do several things well: retrieve enough data to satisfy the business needs, apply any needed transformations to that data, and load it to the destination(s) without interruption to any other business processes. The work that goes into building and validating that...
The post ETL Antipattern: Failing to Treat ETL Logic as Source Code appeared first on Tim Mitchell.
