Denormalization

Denormalization is a schema modification strategy in database design that involves intentionally introducing redundancy into a relational schema to enhance query performance by reducing the number of joins required, thereby deviating from the principles of normalization while balancing consistency and efficiency trade-offs.

28

Publications

751

Citations

87

Authors

43

Institutions

Publications per year

2017–2026

10

Authors

87

  1. DB
    Dominique Bourn

    Laboratoire de Mathématiques Blaise Pascal, France

    2 publications · 80 citations

    2

    h-index

  2. GL
    G. Lawrence Sanders

    University at Buffalo, State University of New York, United States

    2 publications · 110 citations

    2

    h-index

  3. HS
    Haşim Sak

    Google (United States), United States

    1 publications · 10 citations

    1

    h-index

  4. MS
    Marco Sorrentino

    University of Salerno, Italy

    1 publications · 22 citations

    1

    h-index

  5. GA
    Guntis Arnicāns

    University of Latvia, Latvia

    1 publications · 65 citations

    1

    h-index

1–5 of 87

Venues

  1. Journal of Pure and Applied Algebra

    2 publications · 80 citations

    2

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 42 citations

    2

    h-index

  3. IEEE Transactions on Computers

    1 publications · 15 citations

    1

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 17 citations

    1

    h-index

  5. Substance Abuse

    1 publications · 24 citations

    1

    h-index

1–5