Aggregate Tables

Aggregate Tables is a type of precomputed summary table in dimensional modeling that distinguishes itself by storing aggregated data at multiple levels of granularity to improve query performance in data warehouse environments.

34

Publications

1.3K

Citations

60

Authors

43

Institutions

Publications per year

2017–2026

4

Authors

60

  1. DQ
    Dallan Quass

    Stanford University, United States

    3 publications · 267 citations

    3

    h-index

  2. CO
    Carlos Ordońẽz

    University of Houston, United States

    3 publications · 161 citations

    3

    h-index

  3. IS
    Inderpal Singh Mumick

    AT&T (United States), United States

    2 publications · 235 citations

    2

    h-index

  4. FM
    Francesco M. Malvestuto

    Sapienza University of Rome, Italy

    2 publications · 49 citations

    2

    h-index

  5. GÖ
    Gültekin Özsoyoğlu

    Case Western Reserve University, United States

    2 publications · 109 citations

    2

    h-index

1–5 of 60

Venues

  1. ACM SIGMOD Record

    2 publications · 84 citations

    2

    h-index

  2. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 62 citations

    2

    h-index

  3. MADOC (University of Mannheim)

    Repository · 1 publications · 103 citations

    1

    h-index

  4. ACM Transactions on Database Systems

    TODS · 1 publications · 56 citations

    1

    h-index

  5. Indian Journal of Science and Technology

    1 publications · 27 citations

    1

    h-index

1–5