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- W3008048897 abstract "The advent of Big Data has revolutionized the way in which data are collected, analyzed, and processed, becoming a pre-requisite for each enterprise that competes in the global market. In this respect, the commodization of Big Data analytics is an essential goal to be faced in the near future. Recently, some preliminary approaches have been presented mostly focusing on distributing Big Data platforms as a service, while less has been done on cross-platform Big Data analytics. In this paper, we propose a model-based methodology for Big Data Analytics-as-a-Service that extends existing techniques by supporting cross-communication between batch and stream processing, deployment on multiple platforms, and end-to-end verification against users' requirements." @default.
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- W3008048897 date "2019-12-01" @default.
- W3008048897 modified "2023-09-27" @default.
- W3008048897 title "A Methodology for Cross-Platform, Event-Driven Big Data Analytics-as-a-Service" @default.
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- W3008048897 doi "https://doi.org/10.1109/bigdata47090.2019.9005503" @default.
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