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...
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