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

Warehousing and protecting big data: State-of-the-art-analysis, methodologies, future challenges

CUZZOCREA, Alfredo Massimiliano
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
9781450340632
9781450340632
https://dl.acm.org/citation.cfm?doid=2896387.2900335
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11368/2898324
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