ETL (Extract, Transform, Load) is a data integration process that combines data from multiple sources into a unified data store, like a data warehouse or data lake. It extracts data from various source systems, transforms the data into a consistent and usable format, and loads the transformed data into the target data store. ETL is commonly used for business intelligence, data analytics, and reporting, enabling organizations to gain insights from their data.
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