Distributed Olap

Distributed OLAP is an analytical processing framework that enables the decentralized execution of multidimensional queries across interconnected nodes by distributing data and computation, thereby distinguishing it from centralized OLAP systems through its scalable and parallelized architecture.

33

Publications

1.4K

Citations

107

Authors

47

Institutions

Publications per year

2017–2026

7

Authors

107

  1. CB
    Carsten Binnig

    Technische Universität Darmstadt, Germany

    3 publications · 174 citations

    3

    h-index

  2. MO
    Michael O. Akinde

    Aalborg University, Denmark

    2 publications · 76 citations

    2

    h-index

  3. DP
    Dimitris Papadias

    Hong Kong University of Science and Technology, Hong Kong SAR China

    2 publications · 133 citations

    2

    h-index

  4. AC
    Andrew Crotty

    John Brown University, United States

    2 publications · 158 citations

    2

    h-index

  5. MN
    Marko Niinimäki

    2 publications · 58 citations

    2

    h-index

1–5 of 107

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 673 citations

    2

    h-index

  2. ACM SIGMOD Record

    2 publications · 22 citations

    2

    h-index

  3. Asia-Pacific Conference on Conceptual Modelling

    Conference · 1 publications · 18 citations

    1

    h-index

  4. arXiv (Cornell University)

    Repository · 1 publications · 10 citations

    1

    h-index

  5. Information Systems

    1 publications · 65 citations

    1

    h-index

1–5