Scalable Analytics Infrastructure
Scalable Analytics Infrastructure is a computational framework within Business Intelligence Architecture designed to dynamically expand its data processing and analytical capabilities in response to increasing data volumes, user demands, or complexity while maintaining performance, reliability, and efficiency.
80
Publications
5.5K
Citations
414
Authors
137
Institutions
Publications per year
2017–2026
35
80
Data warehousing and analytics infrastructure at facebook
Ashish Thusoo, Zheng Shao, Suresh Anthony et al. · 2010 · 433 citations
Big data analytics on Apache Spark
Salman Salloum, Ruslan Dautov, Xiaojun Chen et al. · International Journal of Data Science and Analytics · 2016 · 425 citations · Full text
Exascale computing and big data
Daniel A. Reed, Jack Dongarra · Communications of the ACM · 2015 · 418 citations · Full text
The LDBC Social Network Benchmark
Orri Erling, Alex Averbuch, Josep-L. Larriba-Pey et al. · 2015 · 262 citations · Full text
1–5 of 80
414
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3
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3
h-index
3
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3
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1–5 of 414
137
University of California, Berkeley
Berkeley, United States
5 h-index
20 publications
1.7K citations
University of Illinois Urbana-Champaign
Urbana, United States
4 h-index
15 publications
597 citations

Pacific Northwest National Laboratory
Richland, United States
3 h-index
7 publications
241 citations
Argonne National Laboratory
Lemont, United States
3 h-index
19 publications
404 citations
Microsoft (United States)
Redmond, United States
3 h-index
5 publications
478 citations

University of Calabria
Rende, Italy
3 h-index
3 publications
304 citations
Meta (United States)
Menlo Park, United States
2 h-index
9 publications
3.5K citations
University of Chicago
Chicago, United States
2 h-index
12 publications
234 citations
1–8 of 137
PVLDB · 3 publications · 79 citations
3
h-index
2 publications · 35 citations
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Repository · 2 publications · 48 citations
2
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2 publications · 314 citations
2
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2 publications · 73 citations
2
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1–5