Operational Data Monitoring
Operational Data Monitoring is a data observability framework that systematically tracks the health, accuracy, and reliability of data flows and pipelines in production environments to ensure consistent and trustworthy operational data usage.
71
Publications
2.6K
Citations
292
Authors
156
Institutions
Publications per year
2017–2026
40
Parents
71
1–5 of 71
292
2
h-index
2
h-index
2
h-index
Rutgers, The State University of New Jersey, United States
2 publications · 63 citations
2
h-index
2
h-index
1–5 of 292
156
Tsinghua University
Beijing, China
3 h-index
7 publications
595 citations

Lawrence Berkeley National Laboratory
Berkeley, United States
2 h-index
6 publications
206 citations

University of Naples Federico II
Naples, Italy
2 h-index
6 publications
150 citations

University of Edinburgh
Edinburgh, United Kingdom
2 h-index
3 publications
59 citations

Johns Hopkins University
Baltimore, United States
2 h-index
4 publications
170 citations
Leibniz Supercomputing Centre
Garching, Germany
2 h-index
6 publications
178 citations

University of Coimbra
Coimbra, Portugal
2 h-index
3 publications
93 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
2 h-index
2 publications
380 citations
1–8 of 156
3 publications · 134 citations
3
h-index
2 publications · 50 citations
2
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2 publications · 82 citations
2
h-index
1 publications · 11 citations
1
h-index
1 publications · 28 citations
1
h-index
1–5