Batch Data Ingestion

Batch Data Ingestion is a data ingestion method characterized by the periodic collection and processing of data in predefined, discrete groups at scheduled intervals, as opposed to continuous or real-time streams.

2

Publications

34

Citations

8

Authors

2

Institutions

Publications per year

2017–2026

2

Authors

8

  1. AB
    Anirban Bhattacharjee

    Vanderbilt University, United States

    1 publications · 18 citations

    1

    h-index

  2. TH
    Tomislav Hlupić

    University of Zagreb, Croatia

    1 publications · 16 citations

    1

    h-index

  3. SK
    Shweta Khare

    Vanderbilt University, United States

    1 publications · 18 citations

    1

    h-index

  4. YB
    Yogesh Barve

    Vanderbilt University, United States

    1 publications · 18 citations

    1

    h-index

  5. JP
    Josip Punis

    1 publications · 16 citations

    1

    h-index

1–5 of 8

Institutions

2

  1. Vanderbilt University

    Nashville, United States

    1 h-index

    5 publications

    90 citations

  2. Lockheed Martin (United States)

    Bethesda, United States

    1 h-index

    1 publications

    18 citations

1–2 of 2

Venues

  1. arXiv (Cornell University)

    Repository · 1 publications · 18 citations

    1

    h-index

1–1