Denormalization
Denormalization is a schema modification strategy in database design that involves intentionally introducing redundancy into a relational schema to enhance query performance by reducing the number of joins required, thereby deviating from the principles of normalization while balancing consistency and efficiency trade-offs.
28
Publications
751
Citations
87
Authors
43
Institutions
Publications per year
2017–2026
10
28
Dominique Bourn · Journal of Pure and Applied Algebra · 2002 · 59 citations
Denormalization effects on performance of RDBMS
G. Lawrence Sanders, Seungkyoon Shin · 2005 · 56 citations
1–5 of 28
87
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University at Buffalo, State University of New York, United States
2 publications · 110 citations
2
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1
h-index
1
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1
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1–5 of 87
43
University at Buffalo, State University of New York
Buffalo, United States
2 h-index
3 publications
166 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
2 h-index
6 publications
120 citations
Harvard University
Cambridge, United States
2 h-index
2 publications
73 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
2 publications
24 citations
Instituto de Telecomunicações
Lisbon, Portugal
1 h-index
1 publications
11 citations

Roswell Park Comprehensive Cancer Center
Buffalo, United States
1 h-index
2 publications
48 citations

Renmin University of China
Beijing, China
1 h-index
5 publications
85 citations
College of Business Administration
Riga, Latvia
1 h-index
1 publications
54 citations
1–8 of 43
2 publications · 80 citations
2
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Repository · 2 publications · 42 citations
2
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1 publications · 15 citations
1
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TKDE · 1 publications · 17 citations
1
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1 publications · 24 citations
1
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1–5