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。
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.
出处
《电信科学》
北大核心
2010年第11期47-50,共4页
Telecommunications Science
关键词
云计算
关系型数据库
海量数据
cloud computing
relational database
large-scale data
