Stream Data Ingestion
Stream Data Ingestion is a data ingestion method that continuously acquires and processes data in real time as it is generated, distinguishing itself from batch-oriented approaches by enabling immediate, incremental processing of data streams.
6
Publications
331
Citations
19
Authors
6
Institutions
Publications per year
2017–2026
3
Parents
6
Adaptive Stream Processing using Dynamic Batch Sizing
Tathagata Das, Yuan Zhong, Ion Stoica et al. · 2014 · 125 citations
Stream warehousing with DataDepot
Lukasz Golab, Theodore Johnson, Joseph Seidel et al. · 2009 · 103 citations
Falak Shah, T. Venkat Sai Naik, Nisarg Vyas · 2019 · 30 citations
Ingestion of Google Cloud Platform Data using Dataflow
Chitra Sabapathy Ranganathan, Ramakrishnan Raman, Vijay Kumar Pandey et al. · 2023 · 19 citations
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6
Queen's University
Kingston, Canada
1 h-index
2 publications
100 citations
Columbia University
New York, United States
1 h-index
1 publications
125 citations
Aristotle University of Thessaloniki
Thessaloniki, Greece
1 h-index
4 publications
44 citations
University of California, Berkeley
Berkeley, United States
1 h-index
3 publications
375 citations
Electronics and Telecommunications Research Institute
Daejeon, South Korea
1 h-index
2 publications
24 citations
AT&T (United States)
Bedminster, United States
1 h-index
4 publications
412 citations
Fujitsu (United Kingdom)
London, United Kingdom
1 publications
10 citations
Hindustan Institute of Technology and Science
Chennai, India
1 publications
19 citations
1–8 of 6
Conference · 1 publications · 10 citations
1 publications · 10 citations
1 publications · 12 citations
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