Data Warehouse Testing

Data Warehouse Testing is a systematic validation process within data management that ensures the accuracy, integrity, performance, and reliability of data warehousing systems by verifying data extraction, transformation, loading (ETL) processes, schema integration, and query functionality against specified requirements.

20

Publications

418

Citations

41

Authors

19

Institutions

Publications per year

2017–2026

5

Authors

41

  1. SR
    Stefano Rizzi

    University of Bologna, Italy

    4 publications · 114 citations

    4

    h-index

  2. MG
    Matteo Golfarelli

    University of Bologna, Italy

    3 publications · 93 citations

    3

    h-index

  3. GH
    Galal H. Galal‐Edeen

    Cairo University, Egypt

    2 publications · 24 citations

    2

    h-index

  4. NE
    Neveen ElGamal

    Cairo University, Egypt

    2 publications · 24 citations

    2

    h-index

  5. HC
    Harry Chandra

    Bandung Institute of Technology, Indonesia

    1 publications · 13 citations

    1

    h-index

1–5 of 41

Venues

  1. Information and Software Technology

    2 publications · 63 citations

    2

    h-index

  2. 1

    h-index

  3. 1

    h-index

  4. International Journal of Data Warehousing and Mining

    IJDWM · 1 publications · 26 citations

    1

    h-index

  5. Procedia Environmental Sciences

    1 publications · 25 citations

    1

    h-index

1–5