What is ETL in the context of data warehousing, and why is it important?

ETL (Extract, Transform, Load) is a data warehousing process that extracts data from sources, transforms it into usable formats, and loads it into storage systems, ensuring seamless data integration and analytics. QA testers play a suitable role in ensuring the quality and accuracy of ETL processes for reliable data operations.
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