Extract (Etl) Processes

Extract (ETL) Processes is a data integration methodology within the broader class of ETL (Extract, Transform, Load) operations that specifically identifies and retrieves raw data from heterogeneous source systems for subsequent transformation and loading into a data warehouse.

72

Publications

2.4K

Citations

194

Authors

77

Institutions

Publications per year

2017–2026

29

Authors

194

  1. AS
    Alkis Simitsis

    Hewlett-Packard (United States), United States

    8 publications · 724 citations

    8

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  2. JT
    Juan Trujillo

    University of Alicante, Spain

    4 publications · 113 citations

    4

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  3. MC
    Malú Castellanos

    Hewlett-Packard (United States), United States

    3 publications · 143 citations

    3

    h-index

  4. JS
    J. Sreemathy

    Sri Eshwar College of Engineering

    2 publications · 66 citations

    3

    h-index

  5. KW
    Kevin Wilkinson

    Hewlett-Packard (United States), United States

    3 publications · 143 citations

    3

    h-index

1–5 of 194

Venues

  1. PLoS ONE

    2 publications · 96 citations

    2

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  2. PubMed

    Repository · 2 publications · 24 citations

    2

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  3. 1

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  4. 1

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  5. 1

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1–5