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
Parents
11
Towards data-driven approaches in manufacturing: an architecture to collect sequences of operations
Ashfaq Farooqui, Kristofer Bengtsson, Petter Falkman et al. · International Journal of Production Research · 2020 · 39 citations · Full text
Engineering, Manufacturing Engineering, Systems Engineering +16
1–5 of 11
46
2
h-index
1
h-index
1
h-index
1
h-index
1
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1–5 of 46
23
University of Cambridge
Cambridge, United Kingdom
2 h-index
4 publications
48 citations

Université Fédérale de Toulouse Midi-Pyrénées
Toulouse, France
1 h-index
5 publications
75 citations

Centre National de la Recherche Scientifique
Paris, France
1 h-index
1 publications
15 citations

UNSW Sydney
Sydney, Australia
1 h-index
2 publications
30 citations
Deutsche Telekom (Austria)
Vienna, Austria
1 h-index
2 publications
40 citations
Institute of Atmospheric Pollution Research
Monterotondo, Italy
1 h-index
1 publications
39 citations
Institut National Polytechnique de Toulouse
Toulouse, France
1 h-index
1 publications
15 citations
Joint Research Centre
Ispra, Italy
1 h-index
1 publications
39 citations
1–8 of 23
JPCC · 1 publications · 11 citations
1
h-index
Conference · 1 publications · 17 citations
1
h-index
1 publications · 39 citations
1
h-index
DKE · 1 publications · 20 citations
1
h-index
1 publications · 21 citations
1
h-index
1–5