Big-Data Analytics: Challenges, Key Technologies and Prospects
Release Date：2013-07-24
Author：Shengmei Luo, Zhikun Wang, and Zhiping Wang
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[Abstract] 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 significance of big data and discuss key technologies and problems in big-data analytics. We also discuss the future prospects of big-data analytics.
[Keywords] big data; mass storage; data mining; business intelligence
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