作　　者： ; ;

机构地区： 国防科学技术大学人文与社会科学学院

出　　处： 《国防科技》 2013年第2期10-17,共8页

摘　　要： 随着互联网的飞速发展,特别是近年来随着社交网络、物联网、云计算以及多种传感器的广泛应用,以数量庞大,种类众多,时效性强为特征的非结构化数据不断涌现,数据的重要性愈发凸显,传统的数据存储、分析技术难以实时处理大量的非结构化信息,大数据的概念应运而生。如何获取、聚集、分析大数据成为广泛关注的热点问题。介绍大数据的概念与特点,分别讨论大数据的典型的特征,分析大数据要解决的相关性分析、实时处理等核心问题,最后讨论大数据可能要面临的多种挑战。 With the rapid development of the Internet,especially the wide application ofsocial networking,the Internet of Things,cloud computingas well as a variety of sensorsin recent years,unstructured data,which have large numbers,varieties and also timeliness,continue to emerge.The importance of the data becomes more prominent.It is difficultto use the traditional data storage and analysis technology to handle large volumes of unstructured information in a real-time manner,andthat＇s how the concept of big data came into being.How to obtain,aggregate and analyzebig data becomesa hot issue.This paper introduces the concept and characteristicsof big data,analyzes the core issues,such as the correlation analysis,real-time processing,etc.,and finally discussesmany challengeslarge data may face.

关 键 词： 大数据 非结构化信息 解决核心问题 未来挑战

领　　域： [军事] [兵器科学与技术]