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  3. Extract, Transform, Load (ETL) is a three-phase process in computing where data is:
    1. Extracted from an input source.
    2. Transformed (including cleaning).
    3. Loaded into an output data container1.
    An alternative approach is Extract, Load, Transform (ELT), where data is not transformed on entry to the data lake, but stored in its original raw format, enabling faster loading times2.
    Learn more:
    In computing, extract, transform, load (ETL) is a three-phase process where data is extracted from an input source, transformed (including cleaning), and loaded into an output data container. The data can be collated from one or more sources and it can also be output to one or more destinations.
    en.wikipedia.org/wiki/Extract,_transform,_load
    Extract, load, transform (ELT) is an alternative to extract, transform, load (ETL) used with data lake implementations. In contrast to ETL, in ELT models the data is not transformed on entry to the data lake, but stored in its original raw format. This enables faster loading times.
    en.wikipedia.org/wiki/Extract,_load,_transform
     
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