Big data challenge: a data management perspective

被引：168

作者：

Chen, Jinchuan ^{[1
]}

Chen, Yueguo ^{[1
]}

Du, Xiaoyong ^{[1
]}

Li, Cuiping ^{[1
]}

Lu, Jiaheng ^{[1
]}

Zhao, Suyun ^{[1
]}

Zhou, Xuan ^{[1
]}

机构：

[1] Renmin Univ China, Key Lab Data Engn & Knowledge Engn, Sch Informat, Beijing 100872, Peoples R China

来源：

FRONTIERS OF COMPUTER SCIENCE | 2013年 / 7卷 / 02期

基金：

北京市自然科学基金;

关键词：

big data; performance; databases; PROVENANCE;

D O I：

10.1007/s11704-013-3903-7

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：157 / 164

页数：8

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