New landscape of data management technologies

Xiong Pai Qin, Hui Ju Wang, Fu Rong Li, Cui Ping Li, Hong Chen, Xuan Zhou, Xiao Yong Du, Shan Wang

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)175-197
Number of pages23
JournalRuan Jian Xue Bao/Journal of Software
Volume24
Issue number2
DOIs
StatePublished - Feb 2013
Externally publishedYes

Keywords

  • Analytic
  • Big data
  • New landscape
  • NoSQL
  • Operational
  • RDBMS (relational database management system)

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