Cloud-native Data Architecture
Cloud-Native Data Architecture is a data architecture approach that, as its genus, belongs to the class of system design paradigms for managing data in distributed environments, and as its differentia, is specifically characterized by the native integration of cloud-centric capabilities—such as elastic scalability, microservices orientation, serverless computing, automated management, and API-driven interoperability—into the foundational structure of data platforms to optimize agility, resilience, and cost-efficiency.
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1.3K
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102
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38
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2017–2026
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Sergey Melnik, Andrey Gubarev, Jing Jing Long et al. · Proceedings of the VLDB Endowment · 2010 · 709 citations
Cloud-Native Repositories for Big Scientific Data
Ryan Abernathey, Tom Augspurger, Anderson Banihirwe et al. · Computing in Science & Engineering · 2021 · 129 citations · Full text
Sergey Melnik, Andrey Gubarev, Jing Jing Long et al. · Communications of the ACM · 2011 · 109 citations
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Google (United States)
Mountain View, United States
3 h-index
26 publications
6.5K citations
Met Office
Exeter, United Kingdom
2 h-index
4 publications
286 citations

NSF National Center for Atmospheric Research
Boulder, United States
2 h-index
4 publications
286 citations

Alibaba Group (China)
Hangzhou, China
2 h-index
25 publications
685 citations

University of Exeter
Exeter, United Kingdom
2 h-index
4 publications
286 citations
United States Geological Survey
Reston, United States
2 h-index
2 publications
143 citations
Farallon Institute
Petaluma, United States
2 h-index
2 publications
143 citations
Anaconda (United States)
New York, United States
2 h-index
2 publications
143 citations
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PVLDB · 4 publications · 844 citations
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2 publications · 42 citations
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FGCS · 2 publications · 35 citations
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1 publications · 129 citations
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POMACS · 1 publications · 11 citations
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