Real-time Data Warehousing

Real-Time Data Warehousing is a data warehousing approach that enables the immediate integration, processing, and availability of data updates from source systems into the warehouse environment, ensuring current data is accessible for analysis with minimal latency.

60

Publications

1.6K

Citations

153

Authors

63

Institutions

Publications per year

2017–2026

14

Authors

153

  1. WL
    Wolfgang Lehner

    Technische Universität Dresden, Germany

    4 publications · 147 citations

    4

    h-index

  2. LG
    Lukasz Golab

    University of Waterloo, Canada

    4 publications · 143 citations

    4

    h-index

  3. MT
    Maik Thiele

    Technische Universität Dresden, Germany

    4 publications · 113 citations

    4

    h-index

  4. GW
    Gerald Weber

    University of Auckland, New Zealand

    3 publications · 72 citations

    3

    h-index

  5. MA
    M. Asif Naeem

    Auckland University of Technology, New Zealand

    3 publications · 72 citations

    3

    h-index

1–5 of 153

Venues

  1. IEEE Access

    3 publications · 113 citations

    3

    h-index

  2. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 52 citations

    2

    h-index

  3. International Journal of Data Warehousing and Mining

    IJDWM · 2 publications · 58 citations

    2

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 60 citations

    2

    h-index

  5. 1

    h-index

1–5