How to Handle Null Values and Duplicate Records in ETL
Moving from development to production often exposes data quality issues that never appeared during testing. A pipeline may run without errors, yet reports still look wrong because missing fields or repeated rows slipped through. Learning how to deal with these situations is part of becoming a dependable data professional. During my early practice with FITA Academy, I realized that finding bad...
0 Commentaires 0 Parts 13 Vue 0 Aperçu
SocioMint https://sociomint.com