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EnglishThis paper proposes a comprehensive critical survey on the issues of warehousing and protecting big data, which are recognized as critical challenges of emerging big data research. Indeed, both are critical aspects to be considered in order to build truly, highperformance and highly-flexible big data management systems. We report on state-of-the-art approaches, methodologies and trends, and finally conclude by providing open problems and challenging research directions to be considered by future efforts
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| Titolo: | Warehousing and protecting big data: State-of-the-art-analysis, methodologies, future challenges |
| Autori: | |
| Data di pubblicazione: | 2016 |
| Abstract: | This paper proposes a comprehensive critical survey on the issues of warehousing and protecting big data, which are recognized as critical challenges of emerging big data research. Indeed, both are critical aspects to be considered in order to build truly, highperformance and highly-flexible big data management systems. We report on state-of-the-art approaches, methodologies and trends, and finally conclude by providing open problems and challenging research directions to be considered by future efforts |
| Handle: | http://hdl.handle.net/20.500.11770/312473 |
| ISBN: | 9781450340632 |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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