Big-Data Analytics:Challenges,Key Technologies and Prospects

被引：19

作者：

Shengmei Luo ^{[1
]}

Zhikun Wang ^{[1
]}

Zhiping Wang ^{[1
]}

机构：

[1] Cloud Computing and IT Institute of ZTE Corporation

来源：

ZTECommunications | 2013年 / 11卷 / 02期

关键词：

big data; mass storage; data mining; business intelligence;

D O I：

暂无

中图分类号：

TP311.13 [];

学科分类号：

1201 ;

摘要：

With the rapid development of the internet,internet of things,mobile internet,and cloud computing,the amount of data in circulation has grown rapidly.More social information has contributed to the growth of big data,and data has become a core asset.Big data is challenging in terms of effective storage,efficient computation and analysis,and deep data mining.In this paper,we discuss the significance of big data and discuss key technologies and problems in big-data analytics.We also discuss the future prospects of big-data analytics.

引用

页码：11 / 17

页数：7