Event-driven Data Architecture

Event-Driven Data Architecture is a data architecture paradigm that enables the design and orchestration of data flows and processing through discrete events as primary triggers, distinguishing it from batch- or request-driven approaches by emphasizing real-time responsiveness, asynchronous communication, and event-state decoupling in data-centric systems.

11

Publications

250

Citations

46

Authors

23

Institutions

Publications per year

2017–2026

5

Authors

46

  1. JB
    Jean Bacon

    University of Cambridge, United Kingdom

    2 publications · 24 citations

    2

    h-index

  2. GW
    G. Webber

    University of Auckland, New Zealand

    1 publications · 49 citations

    1

    h-index

  3. HS
    Hoah-Der Su

    University of Pittsburgh, United States

    1 publications · 11 citations

    1

    h-index

  4. MR
    Matthes Rieke

    University of Münster, Germany

    1 publications · 39 citations

    1

    h-index

  5. CM
    Christian Malewski

    52°North Spatial Information Research, Germany

    1 publications · 39 citations

    1

    h-index

1–5 of 46

Venues

  1. 1

    h-index

  2. 1

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  3. International Journal of Production Research

    1 publications · 39 citations

    1

    h-index

  4. Data & Knowledge Engineering

    DKE · 1 publications · 20 citations

    1

    h-index

  5. Procedia Manufacturing

    1 publications · 21 citations

    1

    h-index

1–5