Cloud Data Lakes

Cloud Data Lakes is a centralized, scalable repository that stores vast volumes of raw, structured, semi-structured, and unstructured data in its native format, distinguished from traditional data warehouses by its support for flexible schema-on-read models and its deployment within cloud infrastructure to enable elastic storage and cost-efficient processing.

9

Publications

512

Citations

30

Authors

13

Institutions

Publications per year

2017–2026

7

Authors

30

  1. SR
    Sudip Roy

    Google (United States), United States

    1 publications · 59 citations

    1

    h-index

  2. CO
    Chris Olston

    Stanford University, United States

    1 publications · 59 citations

    1

    h-index

  3. FK
    Flip Korn

    AT&T (United States), United States

    1 publications · 59 citations

    1

    h-index

  4. DM
    Daniel M. Finkelsztein

    RTX (United States), United States

    1 publications · 13 citations

    1

    h-index

  5. AF
    Aristeidis Fkiaras

    Laboratoire de Physique des 2 Infinis Irène Joliot-Curie, France

    1 publications · 13 citations

    1

    h-index

1–5 of 30

Venues

  1. IEEE Data(base) Engineering Bulletin

    1 publications · 59 citations

    1

    h-index

  2. EPJ Web of Conferences

    1 publications · 13 citations

    1

    h-index

  3. Molecules

    1 publications · 14 citations

    1

    h-index

  4. 1

    h-index

  5. IEEE Access

    1 publications · 41 citations

    1

    h-index

1–5