Data Lake Scalability

Data Lake Scalability is a structural property of data lake architectures that enables seamless expansion in storage capacity and processing capabilities to accommodate growing volumes, velocities, and varieties of raw data without degradation in performance or operational efficiency.

17

Publications

341

Citations

54

Authors

34

Institutions

Publications per year

2017–2026

16

Parents

Authors

54

  1. SC
    S. Campana

    European Organization for Nuclear Research, Switzerland

    2 publications · 38 citations

    2

    h-index

  2. MJ
    Matthias Jarke

    RWTH Aachen University, Germany

    1 publications · 21 citations

    1

    h-index

  3. HB
    Hassan Badir

    École Nationale de Commerce et de Gestion de Tanger, Morocco

    1 publications · 40 citations

    1

    h-index

  4. ES
    Emad Saddad

    Agricultural Research Center, Egypt

    1 publications · 18 citations

    1

    h-index

  5. CQ
    Christoph Quix

    RWTH Aachen University, Germany

    1 publications · 21 citations

    1

    h-index

1–5 of 54

Venues

  1. 3

    h-index

  2. EPJ Web of Conferences

    3 publications · 53 citations

    3

    h-index

  3. 2021 IEEE International Conference on Big Data (Big Data)

    Conference · 1 publications · 29 citations

    1

    h-index

  4. SN Computer Science

    1 publications · 12 citations

    1

    h-index

  5. Journal of Parallel and Distributed Computing

    1 publications · 40 citations

    1

    h-index

1–5