Scalable Data Storage
Scalable Data Storage is a data storage architecture that supports proportional growth in capacity and throughput by adding or reallocating resources without significant redesign or service interruption, thereby accommodating increasing data volumes and access loads in big data environments.
1K
Publications
70.7K
Citations
3.7K
Authors
843
Institutions
Publications per year
2017–2026
298
1K
G. A. Prinz · Science · 1998 · 3.6K citations
Big Data : The Management Revolution
アンドリュー マカフィー, エリック ブリニョルフソン, 裕子 有賀 · Harvard business review · 2013 · 3.6K citations
Computing, Information Systems, Management Information Systems +14
Fay W. Chang, Sanjay Ghemawat, Wilson C. Hsieh et al. · ACM Transactions on Computer Systems · 2008 · 3.4K citations
Bigtable: a distributed storage system for structured data
Fay W. Chang, Jay B. Dean, Sanjay Ghemawat et al. · 2006 · 2K citations
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843
University of California, Berkeley
Berkeley, United States
18 h-index
55 publications
7.5K citations

Huazhong University of Science and Technology
Wuhan, China
18 h-index
80 publications
3.3K citations
Carnegie Mellon University
Pittsburgh, United States
17 h-index
107 publications
13.8K citations
Tsinghua University
Beijing, China
16 h-index
76 publications
2.3K citations
IBM (United States)
Armonk, United States
16 h-index
85 publications
9.4K citations
Stanford University
Stanford, United States
15 h-index
85 publications
14.3K citations
Argonne National Laboratory
Lemont, United States
14 h-index
57 publications
4.5K citations

Oak Ridge National Laboratory
Oak Ridge, United States
14 h-index
83 publications
3.3K citations
1–8 of 843
PVLDB · 48 publications · 4.1K citations
28
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TPDS · 15 publications · 375 citations
14
h-index
13 publications · 604 citations
12
h-index
11 publications · 2K citations
11
h-index
14 publications · 378 citations
11
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