A survey of big data management: Taxonomy and state-of-the-art
作者: Aisha SiddiqaIbrahim Abaker Targio HashemIbrar YaqoobMohsen MarjaniShahabuddin ShamshirbandAbdullah GaniFariza Nasaruddin
作者单位: 1Center for Mobile Cloud Computing Research, University of Malaya, Kuala Lumpur, Malaysia
2Department of Computer System and Technology, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia
3Department of Information System, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia
刊名: Journal of Network and Computer Applications, 2016, Vol.71 , pp.151-166
来源数据库: Elsevier Journal
DOI: 10.1016/j.jnca.2016.04.008
关键词: Big data managementStorageBig dataProcessingSecurity
原始语种摘要: Abstract(#br)The rapid growth of emerging applications and the evolution of cloud computing technologies have significantly enhanced the capability to generate vast amounts of data. Thus, it has become a great challenge in this big data era to manage such voluminous amount of data. The recent advancements in big data techniques and technologies have enabled many enterprises to handle big data efficiently. However, these advances in techniques and technologies have not yet been studied in detail and a comprehensive survey of this domain is still lacking. With focus on big data management, this survey aims to investigate feasible techniques of managing big data by emphasizing on storage, pre-processing, processing and security. Moreover, the critical aspects of these techniques are analyzed...
全文获取路径: Elsevier  (合作)
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影响因子:1.467 (2012)

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