电信科学 ›› 2010, Vol. 26 ›› Issue (11): 47-50.doi: 10.3969/j.issn.1000-0801.2010.11.013

• 中国联通研究院云计算专栏 • 上一篇    下一篇

基于Hadoop及关系型数据库的海量数据分析研究

程莹,张云勇,徐雷,房秉毅   

  1. 中国联通研究院 北京 100048
  • 出版日期:2010-11-15 发布日期:2010-11-15

Research on Large-Scale Data Processing Based on Hadoop and Relational Database

Ying Cheng,Yunyong Zhang,Lei Xu,Bingyi Fang   

  1. China Unicom Research Institute,Beijing 100048,China
  • Online:2010-11-15 Published:2010-11-15

摘要:

Hadoop可以在大量廉价的硬件设备组成的集群上运行应用程序,全面地将计算推向数据,在处理海量数据方面具有一定的优势。本文对Hadoop和关系型数据库进行了比较分析,讨论了将二者结合构建海量数据分析系统的可行性,同时给出了实际的应用场景。

关键词: 云计算, 关系型数据库, 海量数据

Abstract:

Hadoop can run applications on a cluster which is composed of a large number of low-cost hardware devices.It pushes computing to data and has advantages in processing large-scale data.The comparison between hadoop and relational database is presented and the feasibility for construction of large-scale data processing system with both methods is discussed.Finally,the practical scenarios are given.

Key words: cloud computing, relational database, large-scale data

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