Data Consistency Analysis
Data Consistency Analysis is a data profiling method that identifies and evaluates the uniformity of data values across datasets or within a dataset by detecting deviations from defined rules, constraints, or semantic standards.
147
Publications
9.8K
Citations
504
Authors
254
Institutions
Publications per year
2017–2026
51
Parents
147
Towards robust distributed systems (abstract)
2000 · 784 citations · Full text
GraphLab: A New Framework For Parallel Machine Learning
Yucheng Low, Joseph E. Gonzalez, Aapo Kyrola et al. · arXiv (Cornell University) · 2014 · 441 citations · Full text
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254

University of Toronto
Toronto, Canada
5 h-index
15 publications
830 citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
13 publications
3.6K citations
University of California, Berkeley
Berkeley, United States
4 h-index
10 publications
2.2K citations
University College London
London, United Kingdom
4 h-index
7 publications
333 citations
Harvard University
Cambridge, United States
4 h-index
12 publications
602 citations

Princess Margaret Cancer Centre
Toronto, Canada
3 h-index
18 publications
1.2K citations
Hospital for Sick Children
Toronto, Canada
3 h-index
3 publications
193 citations
KU Leuven
Leuven, Belgium
3 h-index
4 publications
150 citations
1–8 of 254
PVLDB · 4 publications · 526 citations
4
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Repository · 4 publications · 734 citations
4
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TSE · 2 publications · 62 citations
2
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2 publications · 177 citations
2
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2 publications · 45 citations
2
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1–5