Extract-transform-load Pipelines

Extract-Transform-Load Pipelines is a data integration framework that systematically acquires data from heterogeneous sources (extract), applies structured modifications such as cleaning and aggregation (transform), and loads the processed data into a target repository for analysis or operational use.

46

Publications

2.4K

Citations

203

Authors

100

Institutions

Publications per year

2017–2026

25

Authors

203

  1. KH
    Katja Hose

    Aalborg University, Denmark

    4 publications · 123 citations

    4

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  2. RP
    Rudra Pratap Deb Nath

    University of Chittagong, Bangladesh

    4 publications · 123 citations

    4

    h-index

  3. TB
    Torben Bach Pedersen

    Aalborg University, Denmark

    4 publications · 123 citations

    4

    h-index

  4. LL
    Leonid Libkin

    University of Edinburgh, United Kingdom

    3 publications · 112 citations

    3

    h-index

  5. NW
    Norman W. Paton

    University of Manchester, United Kingdom

    3 publications · 112 citations

    3

    h-index

1–5 of 203

Venues

  1. Semantic Web

    2 publications · 64 citations

    2

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  2. Communications of the ACM

    2 publications · 486 citations

    2

    h-index

  3. Studies in health technology and informatics

    Book series · 2 publications · 38 citations

    2

    h-index

  4. Pakistan Journal of Engineering and Technology

    PAKJET · 1 publications · 17 citations

    1

    h-index

  5. 1

    h-index

1–5