Data Lakes

Data Lakes is a centralized, scalable storage repository that distinguishes itself from traditional data stores by retaining raw, unstructured, and structured data in its native formats until needed for processing and analysis.

140

Publications

6.5K

Citations

443

Authors

178

Institutions

Publications per year

2017–2026

117

Authors

443

  1. RJ
    Renée J. Miller

    University of Toronto, Canada

    8 publications · 616 citations

    8

    h-index

  2. CQ
    Christoph Quix

    RWTH Aachen University, Germany

    6 publications · 452 citations

    6

    h-index

  3. RH
    Rihan Hai

    RWTH Aachen University, Germany

    5 publications · 423 citations

    5

    h-index

  4. EZ
    Erkang Zhu

    University of Toronto, Canada

    4 publications · 432 citations

    4

    h-index

  5. KC
    Kyle Chard

    University of Chicago, United States

    4 publications · 72 citations

    4

    h-index

1–5 of 443

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 12 publications · 826 citations

    12

    h-index

  2. Procedia Computer Science

    4 publications · 406 citations

    5

    h-index

  3. EPJ Web of Conferences

    4 publications · 70 citations

    4

    h-index

  4. 3

    h-index

  5. 2021 IEEE International Conference on Big Data (Big Data)

    Conference · 3 publications · 80 citations

    3

    h-index

1–5