A view of programming scalable data analysis: from clouds to exascale
Abstract Scalability is a key feature for big data analysis and machine learning frameworks and for applications that need to analyze very large and real-time data available from data repositories, social media, sensor networks, smartphones, and the Web. Scalable big data analysis today can be achie...
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| Format: | Article |
| Language: | English |
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SpringerOpen
2019-02-01
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| Series: | Journal of Cloud Computing: Advances, Systems and Applications |
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| Online Access: | http://link.springer.com/article/10.1186/s13677-019-0127-x |