Extract, Transform, Load (ETL) is a data integration process that combines data from multiple sources into a single, consistent data store such as a data warehouse or data lake. It involves extracting data from various sources, transforming it to meet specific business requirements (e.g., cleaning, standardization, aggregation), and loading it into the target data store. ETL is commonly used for business intelligence, data analytics, and data migration.
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