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大数据环境下的平台架构技术研究
引用本文:陆丽婷.大数据环境下的平台架构技术研究[J].计算机时代,2014(10):22-23.
作者姓名:陆丽婷
作者单位:无锡城市职业技术学院电子信息工程系,江苏 无锡,214153
摘    要:大数据时代的到来,对数据的管理和存储带来了挑战。为了更好地管理和利用大数据,对大数据的基本特征进行了剖析,从大数据和分析技术平台的视角,分析了海量并行处理架构、云计算、网格计算和MapReduce这几种重要的技术,比较了其技术特点,对运用不同的技术对大数据时代数据管理产生的作用进行了分析,讨论了大数据分析工作所需要的混合环境,整合环境资源以使能够协同工作,使得每一项技术变得更加强大有效。

关 键 词:大数据  海量并行处理系统  云计算  网格计算  MapReduce

Research on technology of platform architecture under environment of big data
Lu Liting.Research on technology of platform architecture under environment of big data[J].Computer Era,2014(10):22-23.
Authors:Lu Liting
Affiliation:Lu Liting (Dept. of Electronic Information Engineering, Wuxi City College of Vocational Technology, Wuxi, Jiangsu 214153, China)
Abstract:The advent of the era of big data brings challenges to data management and storage. In order to manage and use big data better, the basic features of the big data is analyzed. From the angle of big data and analysis on technological platform,several important technologies are analyzed, such as the massive parallel processing architecture, cloud computing, grid computing and MapReduce. The characteristics of different technologies are compared. The role of data management using different techniques is analyzed. The mixed environment which big data analysis needed is discussed. The environmental resources are integrated to work harmoniously, which makes every technology become more powerful.
Keywords:big data  massive parallel processing system  cloud computing  grid computing  MapReduce
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