Streaming Data Management
Streaming Data Management is a data management paradigm that enables the continuous, real-time ingestion, processing, and analysis of high-volume, time-varying data streams, distinguished from batch-oriented approaches by its focus on immediate, in-motion data handling and low-latency responses.
138
Publications
7.8K
Citations
484
Authors
170
Institutions
Publications per year
2017–2026
27
Parents
138
Issues in data stream management
Lukasz Golab, M. TAMER ÖZSU · ACM SIGMOD Record · 2003 · 916 citations
STREAM: The Stanford Stream Data Manager.
Arvind Arasu, Brian Babcock, Shivnath Babu et al. · IEEE Data(base) Engineering Bulletin · 2003 · 402 citations
Streaming Big Data Processing in Datacenter Clouds
Rajiv Ranjan · IEEE Cloud Computing · 2014 · 233 citations
1–5 of 138
484
7
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4
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Rutgers, The State University of New Jersey, United States
4 publications · 120 citations
4
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4
h-index
3
h-index
1–5 of 484
170
AT&T (United States)
Bedminster, United States
8 h-index
16 publications
939 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
7 h-index
14 publications
451 citations
IBM (United States)
Armonk, United States
6 h-index
15 publications
1.7K citations
Purdue University West Lafayette
West Lafayette, United States
5 h-index
23 publications
521 citations

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
4 h-index
7 publications
283 citations
Microsoft (United States)
Redmond, United States
4 h-index
10 publications
379 citations
Politecnico di Milano
Milan, Italy
4 h-index
7 publications
347 citations
Princeton University
Princeton, United States
3 h-index
5 publications
155 citations
1–8 of 170
PVLDB · 7 publications · 493 citations
7
h-index
ICDE · 3 publications · 201 citations
3
h-index
2 publications · 66 citations
2
h-index
2 publications · 92 citations
2
h-index
2 publications · 125 citations
2
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1–5