Moving into data engineering or ETL testing often brings one lesson faster than expected: clean data is rare. A workflow may finish successfully, but the final reports can still contain incorrect information because of missing values or repeated records. Understanding how to deal with these situations is a skill every ETL professional develops over time. While learning data validation concepts...