An ETL (Extract, Transform, Load) framework is a set of tools, processes, and guidelines used to build and execute ETL pipelines. These pipelines extract data from various sources, transform it into a consistent and usable format, and load it into a target data warehouse, data lake, or other data storage system. ETL frameworks often provide features like data validation, error handling, scheduling, and monitoring to ensure data quality and pipeline reliability. They are commonly used in data warehousing, business intelligence, and data migration projects.
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