Data Pipeline Automation

Data Pipeline Automation is a data orchestration method that systematically configures, schedules, and executes data workflows with minimal human intervention to ensure reliable, scalable, and reproducible data processing across distributed systems.

37

Publications

4.4K

Citations

298

Authors

89

Institutions

Publications per year

2017–2026

18

Authors

298

  1. DJ
    D. J. Barry

    Cornell University, United States

    2 publications · 1.7K citations

    2

    h-index

  2. TH
    T. Herter

    Cornell University, United States

    2 publications · 1.7K citations

    2

    h-index

  3. HJ
    H. J. Reitsema

    University of Arizona, United States

    2 publications · 1.7K citations

    2

    h-index

  4. MH
    Marty Huisjen

    Cornell University, United States

    2 publications · 1.7K citations

    2

    h-index

  5. KI
    K. I. Uchida

    Cornell University, United States

    2 publications · 1.7K citations

    2

    h-index

1–5 of 298

Venues

  1. 3

    h-index

  2. Publications of the Astronomical Society of the Pacific

    PASP · 2 publications · 326 citations

    2

    h-index

  3. Sensors

    1 publications · 17 citations

    1

    h-index

  4. IEEE Access

    1 publications · 78 citations

    1

    h-index

  5. SLAS DISCOVERY

    1 publications · 23 citations

    1

    h-index

1–5