ETL (Extract, Transform, Load) is a data integration process that collects and refines different types of data from multiple data sources, and delivers data to a data lake or analytical data warehouse such as Redshift, Snowflake, or BigQuery.
It enforces data quality to present consistent data for end users to make decisions. The process plays a critical role in producing business intelligence and executing broader data management strategies.