Active and passive transformations are concepts primarily used in the context of data processing, particularly in ETL (Extract, Transform, Load) processes within data warehousing. ### Active Transformation: Active transformations change the number of records that pass through the transformation. They can add, modify, or delete records, which fundamentally alters the data flow. Examples include: - **Filter**: Removes records that do not meet certain criteria.

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