Data Lake Analytics

Data Lake Analytics is a computational framework that enables the processing, exploration, and extraction of actionable insights from heterogeneous, large-scale datasets stored in a data lake by integrating scalable storage, flexible schema-on-read approaches, and advanced analytical techniques.

27

Publications

1.7K

Citations

87

Authors

36

Institutions

Publications per year

2017–2026

22

Parents

Authors

87

  1. BM
    Bożena Małysiak-Mrozek

    Silesian University of Technology, Poland

    2 publications · 62 citations

    2

    h-index

  2. BB
    Boualem Benatallah

    UNSW Sydney, Australia

    2 publications · 162 citations

    2

    h-index

  3. DM
    Dariusz Mrozek

    Silesian University of Technology, Poland

    2 publications · 62 citations

    2

    h-index

  4. RJ
    Renée J. Miller

    University of Toronto, Canada

    2 publications · 259 citations

    2

    h-index

  5. AB
    Amin Beheshti

    Macquarie University, Australia

    2 publications · 162 citations

    2

    h-index

1–5 of 87

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 3 publications · 338 citations

    3

    h-index

  2. Molecules

    1 publications · 14 citations

    1

    h-index

  3. International Conference on Management of Data

    Conference · 1 publications · 20 citations

    1

    h-index

  4. MATEC Web of Conferences

    1 publications · 18 citations

    1

    h-index

  5. Conference on Innovative Data Systems Research

    Conference · 1 publications · 123 citations

    1

    h-index

1–5