New landscape of data management technologies

被引：10
作者：
Qin, Xiong-Pai [1 ,2 ,3 ]
Wang, Hui-Ju [1 ,2 ,3 ]
Li, Fu-Rong [1 ,2 ,3 ]
Li, Cui-Ping [1 ,2 ,3 ]
Chen, Hong [1 ,2 ,3 ]
Zhou, Xuan [1 ,2 ,3 ]
Du, Xiao-Yong [1 ,2 ,3 ]
Wang, Shan [1 ,2 ,3 ]
机构：
[1] Key Laboratory of Data Engineering and Knowledge Engineering (Renmin University of China), Ministry of Education
[2] Sa Shi-Xuan Big Data Management and Analytics Research Center (Sino-Australia)
[3] Information School, Renmin University of China
来源：
Qin, X.-P. (qxp1990@sina.com) | 1600年 / Chinese Academy of Sciences卷 / 24期
关键词：
Analytic; Big data; New landscape; NoSQL; Operational; RDBMS (relational database management system);
D O I：
10.3724/SP.J.1001.2013.04345
中图分类号：
学科分类号：
摘要：
The revolutionary progress of data collecting techniques, dramatic decrease of the price of storage devices, as well as the desirability of people to extract information from the data have given birth to the so-called big data and data management technologies usher in the age of big data. RDBMS (relational database management system) undergoes a development of 40 years since the 1970s and now encounters some difficulties such as limited system scalability and limited data variety support. In recent years, noSQL technologies has risen suddenly as a new force. The technologies can manage, process, and analyze various types of data, achieve rather high performance with the help of parallel computing, can handle even bigger volume of data with the nice property of highly scalability. The paper follows the path of database technology progress and unfolds the new landscape of data management technologies from the angle of applications (operational as well as analytic applications). The paper also identifies some chanllenging and important issues that deserve further investigation, with the authors' recent research work introduced at the end. ©2013 ISCAS.
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页码：175 / 197
页数：22
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