Transform (Etl) Processes

Transform (ETL) Processes is a data integration procedure that belongs to the class of extract, transform, and load (ETL) operations, distinguished by its specific role in converting raw, extracted data into a consistent, cleansed, and structured format suitable for loading into a data warehouse.

47

Publications

1.6K

Citations

124

Authors

44

Institutions

Publications per year

2017–2026

22

Variants

Transformation (Etl)

Authors

124

  1. PV
    Panos Vassiliadis

    University of Ioannina, Greece

    5 publications · 581 citations

    5

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  2. AS
    Alkis Simitsis

    Hewlett-Packard (United States), United States

    5 publications · 581 citations

    5

    h-index

  3. JT
    Juan Trujillo

    University of Alicante, Spain

    4 publications · 103 citations

    4

    h-index

  4. JM
    José-Norberto Mazón

    University of Alicante, Spain

    3 publications · 82 citations

    3

    h-index

  5. EZ
    Esteban Zimányi

    Université Libre de Bruxelles, Belgium

    2 publications · 119 citations

    2

    h-index

1–5 of 124

Venues

  1. 1

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  2. Iranian Conference on Electrical Engineering

    Conference · 1 publications · 32 citations

    1

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  3. Pakistan Journal of Engineering and Technology

    PAKJET · 1 publications · 17 citations

    1

    h-index

  4. 1

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  5. IEEE Latin America Transactions

    1 publications · 24 citations

    1

    h-index

1–5