Real-time Data Pipelines
Real-Time Data Pipelines is a data pipeline system that continuously ingests, processes, and delivers data with minimal latency to enable immediate analysis and decision-making, distinguished from batch-oriented pipelines by its capacity to handle streaming data in near real-time.
21
Publications
1.2K
Citations
129
Authors
52
Institutions
Publications per year
2017–2026
6
Variants
Real-time Data Pipeline
Parents
21
Yuanqi Li, Arthi Padmanabhan, Pengzhan Zhao et al. · 2020 · 239 citations · Full text
Realtime Data Processing at Facebook
Guoqiang Jerry Chen, Janet L. Wiener, Shridhar Iyer et al. · 2016 · 130 citations
Building LinkedIn's Real-time Activity Data Pipeline.
Ken Goodhope, Joel Koshy, Jay Kreps et al. · 2012 · 97 citations
1–5 of 21
129
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Center for Astrophysics Harvard & Smithsonian, United States
1 publications · 16 citations
1
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1
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1
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1
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1–5 of 129
52

Centre National de la Recherche Scientifique
Paris, France
2 h-index
4 publications
78 citations
Center for Astrophysics Harvard & Smithsonian
Cambridge, United States
2 h-index
11 publications
362 citations

McGill University
Montreal, Canada
2 h-index
2 publications
62 citations
National Radio Astronomy Observatory
Charlottesville, United States
1 h-index
2 publications
94 citations
BP (Germany)
Bochum, Germany
1 h-index
2 publications
60 citations

Ames Research Center
Mountain View, United States
1 h-index
2 publications
52 citations
UCLA Health
Los Angeles, United States
1 h-index
6 publications
1.4K citations

Brera Astronomical Observatory
Milan, Italy
1 h-index
1 publications
48 citations
1–8 of 52
2 publications · 32 citations
2
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MICPRO · 2 publications · 69 citations
2
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JSA · 1 publications · 24 citations
1
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1 publications · 95 citations
1
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1 publications · 16 citations
1
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1–5