Unified Streaming Data Processing is a data processing framework within Data Lakehouse Architecture that enables real-time ingestion, transformation, and analytics on continuous data streams by unifying the capabilities of stream processing and batch processing engines under a single computational model.
3
Publications
62
Citations
14
Authors
6
Institutions
Publications per year
2017–2026
1
Parents
Publications
3
1–3 of 3
Authors
14
- RS
1
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- SM
1
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- VN
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- YM
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- BM
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1–5 of 14
Institutions
6
Bristol-Myers Squibb (Germany)
Munich, Germany
1 h-index
1 publications
21 citations
VideoMining (United States)
State College, United States
1 h-index
3 publications
45 citations
Bristol-Myers Squibb (United Kingdom)
Moreton, United Kingdom
1 h-index
1 publications
21 citations
University of Michigan
Ann Arbor, United States
1 h-index
1 publications
26 citations
Ann Arbor Center for Independent Living
Ann Arbor, United States
1 h-index
1 publications
26 citations
Pennsylvania State University
State College, United States
1 h-index
3 publications
45 citations
1–6 of 6
Venues
- Conference on Innovative Data Systems Research
Conference · 1 publications · 26 citations
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- Bioanalysis
BIO · 1 publications · 21 citations
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