大数据研究综述.pdf

第 25 卷增刊系统仿真学报© Vol. 25 S
2013 年 8 月 Journal of System Simulation Aug., 2013
大数据研究综述
陶雪娇,胡晓峰,刘洋
(国防大学信息作战与指挥训练教研部, 北京 100091)
摘要:2010 年,全球数据量跨入了 ZB 时代,据 IDC 预测,至 2020 年全球将拥有 35ZB 的数据
量,大量数据实时地影响我们工作、生活,甚至国家经济、社会发展,大数据时代已经到来。大
数据具有数据量巨大、数据类型多样、流动速度快和价值密度低的特点,大数据技术为我们分析
问题和解决问题提供了新的思路和方法,其研究渐渐成为热点。阐述了大数据的相关概念、特点、
大数据技术特别是在数据挖掘方面国内外发展状况以及我们在大数据时代面临的挑战。通过综
述,对大数据有一个全面的认识,为下一步研究打下基础。
关键词:大数据;大数据技术;数据挖掘;挑战
中图分类号:TP301 文献标识码:A 文章编号:1004-731X (2013) S-0142-05
Overview of Big Data Research
TAO Xue-jiao, HU Xiao-feng, LIU Yang
(The Department of Information Operation & Command Training of NDU, Beijing 100091, China)
Abstract: In 2010, the quantity of data reached ZB level. According to IDC, there will be at least 35
zettabytes of stored data in 2020. Massive data are affecting our life, even the economy and the
development of the society. The Big Data era has e. There are four defining characteristics of
Big Data: volume, variety, velocity and value. It is often referred to them as “the 4Vs”. The Big Data
technology will offer new ideas and methods, which is ing popular. Introductions to Big Data and
Big Data technology with particular emphasis on Data Mining were given. There will be prehensive
understanding of Big Data and lay a foundation for further study.
Key words: big data; big data technology; data mining; challenge
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