Data Consistency Management
Data Consistency Management is a methodological framework within data migration processes that ensures the integrity, coherence, and temporal alignment of data across source and target platforms or storage systems by systematically detecting, resolving, and preventing discrepancies during transfer, transformation, and synchronization phases.
161
Publications
10.9K
Citations
644
Authors
283
Institutions
Publications per year
2017–2026
42
161
Athicha Muthitacharoen, Robert Morris, Thomer M. Gil et al. · ACM SIGOPS Operating Systems Review · 2002 · 352 citations
Synchronizing a database to improve freshness
Junghoo Cho, Héctor García-Molina · ACM SIGMOD Record · 2000 · 348 citations
Fatemeh Nargesian, Erkang Zhu, Renée J. Miller et al. · Proceedings of the VLDB Endowment · 2019 · 236 citations
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283
Stanford University
Stanford, United States
6 h-index
10 publications
1.6K citations
Purdue University West Lafayette
West Lafayette, United States
4 h-index
11 publications
155 citations

University of Waterloo
Waterloo, Canada
4 h-index
6 publications
883 citations
Nanyang Technological University
Singapore, Singapore
3 h-index
3 publications
41 citations
University of Michigan
Ann Arbor, United States
3 h-index
6 publications
271 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
3 h-index
6 publications
89 citations
University of Luxembourg
Luxembourg, Luxembourg
3 h-index
3 publications
75 citations

Sapienza University of Rome
Rome, Italy
3 h-index
6 publications
175 citations
1–8 of 283
TPDS · 3 publications · 37 citations
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Book series · 1 publications · 18 citations
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2 publications · 62 citations
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2 publications · 68 citations
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2 publications · 46 citations
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