ETL (Extract, Transform, Load) processes are a type of data integration that refers to the three phases used to consolidate data from multiple sources into a single, consistent data store (like a data warehouse or data lake). Extract involves reading data from various sources. Transform cleans and converts the extracted data into a usable format. Load writes the transformed data into the target repository. ETL is commonly used for business intelligence, data warehousing, and data migration.
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