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ZTE Communications ›› 2013, Vol. 11 ›› Issue (2): 11-17.DOI: DOI: 10.3969/j.issn.1673-5188.2013.02.002

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Big-Data Analytics: Challenges, Key Technologies and Prospects

Shengmei Luo, Zhikun Wang, and Zhiping Wang   

  1. Cloud Computing and IT Institute of ZTE Corporation, Nanjing 210012, China
  • Received:2013-04-18 Online:2013-06-25 Published:2013-06-25
  • About author:Shengmei Luo (luo.shengmei@zte.com.cn) is the chief software architect at ZTE Corporation and a member of the China Cloud Computing Committee. His research interests include big data and product planning for cloud computing.

    Zhikun Wang (wang.zhikun@zte.com.cn) is a senior pre-research engineer at the Cloud Computing and IT Institute of ZTE Corporation. His research interests include cloud computing and big data technologies.

    Zhiping Wang (wang.zhiping@zte.com.cn) received his doctoral degree in information and signal processing from Southeast University, China. He is responsible for cloud computing pre-research and big data at ZTE Corporation. He has led major projects from the National Development and Reform Commission of China, the Ministry of Science and Technology of China, and the Ministry of Industry and Information Technology of China. He has applied for and released 11 patents and is a member of China Computer Industry Association’s CCF task force on big data.

Big-Data Analytics: Challenges, Key Technologies and Prospects

Shengmei Luo, Zhikun Wang, and Zhiping Wang   

  1. Cloud Computing and IT Institute of ZTE Corporation, Nanjing 210012, China
  • 作者简介:Shengmei Luo (luo.shengmei@zte.com.cn) is the chief software architect at ZTE Corporation and a member of the China Cloud Computing Committee. His research interests include big data and product planning for cloud computing.

    Zhikun Wang (wang.zhikun@zte.com.cn) is a senior pre-research engineer at the Cloud Computing and IT Institute of ZTE Corporation. His research interests include cloud computing and big data technologies.

    Zhiping Wang (wang.zhiping@zte.com.cn) received his doctoral degree in information and signal processing from Southeast University, China. He is responsible for cloud computing pre-research and big data at ZTE Corporation. He has led major projects from the National Development and Reform Commission of China, the Ministry of Science and Technology of China, and the Ministry of Industry and Information Technology of China. He has applied for and released 11 patents and is a member of China Computer Industry Association’s CCF task force on big data.

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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.

Key words: big data, mass storage, data mining, business intelligence

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 significance of big data and discuss key technologies and problems in big-data analytics. We also discuss the future prospects of big-data analytics.

关键词: big data, mass storage, data mining, business intelligence