A key component of a data warehouse is the ETL (Extract, Transform, Load) process. ETL involves extracting data from various sources, transforming it into a suitable format, and loading it into the data warehouse for analysis. This process is crucial for maintaining data integrity and consistency across the warehouse, ensuring that users can access accurate and up-to-date information for business intelligence. The effectiveness of a data warehouse largely depends on the quality of the ETL process.