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Big-Data Analytics:Challenges,Key Technologies and Prospects 被引量:19

Big-Data Analytics:Challenges,Key Technologies and Prospects
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摘要 With the rapid development of the internet, internet of things, mobile internet, and cloud computing, the amount of data in circulation has grown rapidly. More social information has contributed to the growth of big data, and data has become a core asset. Big data is challenging in terms of effective storage, efficient computation and analysis, and deep data mining. In this paper, we discuss the signif- icance of big data and discuss key technologies and problems in big-data analyties. We also discuss the future prospects of big-data analylics. With the rapid development of the internet, internet of things, mobile internet, and cloud computing, the amount of data in circulation has grown rapidly. More social information has contributed to the growth of big data, and data has become a core asset. Big data is challenging in terms of effective storage, efficient computation and analysis, and deep data mining. In this paper, we discuss the signif- icance of big data and discuss key technologies and problems in big-data analyties. We also discuss the future prospects of big-data analylics.
出处 《ZTE Communications》 2013年第2期11-17,共7页 中兴通讯技术(英文版)
关键词 big data mass storage data mining business intelligence big data mass storage data mining business intelligence
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