As data sources become more diverse, what key factors should be considered in ETL testing to ensure data quality and integrity?

In diverse data environments, it's essential to validate data consistency across different sources during ETL testing. This ensures that data from various sources aligns correctly and maintains integrity throughout the extraction, transformation, and loading processes. Validating consistency helps identify discrepancies and ensures reliable data integration.