Data Lake Integration

Data Lake Integration is an academic construct that refers to the systematic process of consolidating, transforming, and harmonizing heterogeneous data sources into a unified data lake environment to enable coherent storage, efficient access, and scalable analytics.

18

Publications

939

Citations

67

Authors

30

Institutions

Publications per year

2017–2026

16

Authors

67

  1. RJ
    Renée J. Miller

    University of Toronto, Canada

    2 publications · 277 citations

    2

    h-index

  2. CQ
    Christoph Quix

    RWTH Aachen University, Germany

    2 publications · 78 citations

    2

    h-index

  3. RH
    Rihan Hai

    RWTH Aachen University, Germany

    2 publications · 78 citations

    2

    h-index

  4. AB
    Aníbal Bregón

    Universidad de Valladolid, Spain

    1 publications · 26 citations

    1

    h-index

  5. BU
    Blase Ur

    Carnegie Mellon University, United States

    1 publications · 23 citations

    1

    h-index

1–5 of 67

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 277 citations

    2

    h-index

  2. Procedia Computer Science

    2 publications · 60 citations

    2

    h-index

  3. arXiv (Cornell University)

    Repository · 1 publications · 21 citations

    1

    h-index

  4. Journal of Intelligent Information Systems

    1 publications · 202 citations

    1

    h-index

  5. Complex Systems Informatics and Modeling Quarterly

    CSIMQ · 1 publications · 57 citations

    1

    h-index

1–5