Stream Processing Pipelines
Stream Processing Pipelines is a computational framework that enables continuous, real-time data processing through a series of ordered, loosely coupled stages, each performing incremental transformations on data streams, thereby distinguishing it from batch-oriented or discrete-task pipelines by its inherent support for unbounded, time-sensitive data flows.
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Matei Zaharia, Reynold Xin, Patrick Wendell et al. · Communications of the ACM · 2016 · 2.3K citations
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ETH Zurich
Zurich, Switzerland
6 h-index
16 publications
998 citations
Stanford University
Stanford, United States
5 h-index
11 publications
3.7K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
4 h-index
6 publications
187 citations

Bilkent University
Ankara, Türkiye
4 h-index
6 publications
196 citations

University of Pisa
Pisa, Italy
4 h-index
11 publications
338 citations
University of California, Berkeley
Berkeley, United States
4 h-index
20 publications
17.6K citations
Georgia Institute of Technology
Atlanta, United States
4 h-index
6 publications
164 citations
Massachusetts Institute of Technology
Cambridge, United States
4 h-index
12 publications
2K citations
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PVLDB · 5 publications · 402 citations
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