Data Pipeline Orchestration

Data Pipeline Orchestration is a workflow orchestration method that systematically coordinates, schedules, and manages the execution of interdependent data processing tasks across distributed systems to ensure reliable, scalable, and reproducible data movement and transformation within a data pipeline.

12

Publications

295

Citations

96

Authors

47

Institutions

Publications per year

2017–2026

7

Authors

96

  1. BB
    Brian Bockelman

    University of Nebraska–Lincoln, United States

    1 publications · 14 citations

    1

    h-index

  2. PJ
    Pelle Jakovits

    University of Tartu, Estonia

    1 publications · 55 citations

    1

    h-index

  3. YD
    Yuhui Dong

    Chinese Academy of Sciences, China

    1 publications · 16 citations

    1

    h-index

  4. LM
    Laurent Morin

    Université Paris Cité, France

    1 publications · 66 citations

    1

    h-index

  5. PL
    Pengcheng Li

    Chinese Academy of Sciences, China

    1 publications · 16 citations

    1

    h-index

1–5 of 96

Venues

  1. Future Generation Computer Systems

    FGCS · 2 publications · 67 citations

    2

    h-index

  2. Computing in Science & Engineering

    1 publications · 15 citations

    1

    h-index

  3. Computer

    1 publications · 25 citations

    1

    h-index

  4. Journal of Synchrotron Radiation

    1 publications · 16 citations

    1

    h-index

  5. Microprocessors and Microsystems

    MICPRO · 1 publications · 66 citations

    1

    h-index

1–5