Data quality is crucial in both ETL and ELT processes. In ETL, data quality is managed during the extraction phase, while in ELT, it occurs after loading the data into the target systems. Establishing a pervasive and proactive approach to data quality is recommended, involving all teams and systems within an organization. Ultimately, the choice between ETL and ELT depends on specific data needs, storage technologies, data warehouse architecture, and the business use cases.
