Big data challenge: a data management perspective

  • Authors:

  • Jinchuan Chen;Yueguo Chen;Xiaoyong Du;Cuiping Li;Jiaheng Lu;Suyun Zhao;Xuan Zhou

  • Affiliations:

  • Key Laboratory of Data Engineering and Knowledge Engineering, School of Information, Renmin University of China, Beijing, China 100872;Key Laboratory of Data Engineering and Knowledge Engineering, School of Information, Renmin University of China, Beijing, China 100872;Key Laboratory of Data Engineering and Knowledge Engineering, School of Information, Renmin University of China, Beijing, China 100872;Key Laboratory of Data Engineering and Knowledge Engineering, School of Information, Renmin University of China, Beijing, China 100872;Key Laboratory of Data Engineering and Knowledge Engineering, School of Information, Renmin University of China, Beijing, China 100872;Key Laboratory of Data Engineering and Knowledge Engineering, School of Information, Renmin University of China, Beijing, China 100872;Key Laboratory of Data Engineering and Knowledge Engineering, School of Information, Renmin University of China, Beijing, China 100872

  • Venue:
  • Frontiers of Computer Science: Selected Publications from Chinese Universities
  • Year:
  • 2013

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Abstract

There is a trend that, virtually everyone, ranging from big Web companies to traditional enterprisers to physical science researchers to social scientists, is either already experiencing or anticipating unprecedented growth in the amount of data available in their world, as well as new opportunities and great untapped value. This paper reviews big data challenges from a data management respective. In particular, we discuss big data diversity, big data reduction, big data integration and cleaning, big data indexing and query, and finally big data analysis and mining. Our survey gives a brief overview about big-data-oriented research and problems.