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.
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Jinchuan CHEN is currently a lecturer of the Key Laboratory of Data Engineering and Knowledge Engineering, Ministry of Education (Renmin University of China). He received his BS from Department of Computer Science and Technology of Beijing Normal University in 2001, and his MS from Institute of Software, Chinese Academy of Sciences in 2004. He then obtained his PhD from COMP (HKPolyU) in 2009. His research interests mainly focus on uncertain data management and unstructured data management.
Yueguo CHEN received the BS and MS from Tsinghua University, Beijing, in 2001 and 2004. He earned his PhD in Computer Science from National University of Singapore in 2009. He is currently an associate professor of Renmin University of China. His recent research interests include interactive analysis of big data, large-scale RDF knowledge base management.
Xiaoyong DU received his BS of Computational Mathematics from Hangzhou University in 1983 and ME of Computer Science from Renmin University of China in 1988. He obtained his PhD of Computer Science from Nagoya Institute of Technology, Japan in 1997. He is currently a professor and Dean of School of Information in Renmin University of China. His current research interests include high-performance database systems, intelligent information retrieval, semantic web and knowledge engineering, and digital library technology.
Cuiping LI received BE from Xi’an Jiao Tong University, China, in 1994 and ME from Xi’an Jiao Tong University, China, in 1997. In 2003, she received her PhD from the Institute of Computing Technology, Chinese Academy of Sciences. She is currently an associate professor of Renmin University of China. Her current research interests include database systems, data warehouse, and data mining.
Jiaheng LU received MS in Computer Science from Shanghai Jiao Tong University in 2001 and PhD in Computer Science at National University of Singapore (NUS). He did his Postdoc research with Prof. Chen Li in the Department of Computer Science, University of California, Irvine, during 2006 and 2008. He is currently a professor of Renmin University of China. His current research interests are database and information systems, including XML query processing, data mining, XML keyword suggestion, approximate string matching, cloud data management.
Suyun ZHAO received BS and MS in School of Mathematics and Computer Science, Hebei University, Baoding, China in 2001 and 2004, respectively. She received her PhD in the Department of Computing, the Hong Kong Polytechnic University. Now she is working with Key Laboratory of Data Engineering and Knowledge Engineering (Renmin University of China). Her research interests are in the areas of machine learning, pattern recognition, uncertain information processing, especially fuzzy sets and rough sets.
Xuan ZHOU obtained his PhD from the National University of Singapore in 2005. He was a researcher at the L3S Research Centre, Germany, from 2005 to 2008, and a researcher at CSIRO, Australia, from 2008 to 2010. Since 2010, he has been an associate professor at the Renmin University of China. His search interests include database system and information management. He has contributed to a number of research and industrial projects in European Union, Australia, and China.
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Chen, J., Chen, Y., Du, X. et al. Big data challenge: a data management perspective. Front. Comput. Sci. 7, 157–164 (2013). https://doi.org/10.1007/s11704-013-3903-7
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DOI: https://doi.org/10.1007/s11704-013-3903-7