Parallel Data Warehousing

Parallel Data Warehousing is a distributed database architecture that enables the storage, management, and analysis of large-scale data across multiple processing nodes simultaneously, distinguished by its integration of parallelism in data storage, query processing, and resource scaling to enhance performance and throughput in decision-support systems.

56

Publications

2.1K

Citations

153

Authors

82

Institutions

Publications per year

2017–2026

13

Authors

153

  1. TE
    Todd Eavis

    Dalhousie University, Canada

    3 publications · 54 citations

    3

    h-index

  2. FD
    F. Dehne

    Carleton University, Canada

    3 publications · 54 citations

    3

    h-index

  3. AR
    Andrew Rau‐Chaplin

    Dalhousie University, Canada

    3 publications · 54 citations

    3

    h-index

  4. JM
    Jignesh M. Patel

    University of Wisconsin–Madison, United States

    2 publications · 56 citations

    2

    h-index

  5. SS
    Saket Saurabh

    Institute of Mathematical Sciences, India

    2 publications · 56 citations

    2

    h-index

1–5 of 153

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 3 publications · 154 citations

    3

    h-index

  2. International Journal of Data Warehousing and Mining

    IJDWM · 2 publications · 39 citations

    2

    h-index

  3. Distributed and Parallel Databases

    2 publications · 69 citations

    2

    h-index

  4. 2

    h-index

  5. Data Warehousing and Knowledge Discovery

    Conference · 1 publications · 34 citations

    1

    h-index

1–5