| 基于Hadoop及关系型数据库的海量数据分析研究 |
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| 引用本文： | 程莹,张云勇,徐雷,房秉毅.基于Hadoop及关系型数据库的海量数据分析研究[J].电信科学,2010,26(11). |
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| 作者姓名： | 程莹 张云勇 徐雷 房秉毅 |
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| 作者单位： | 中国联通研究院,北京,100048 |
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| 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。
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| 关 键 词： | 云计算 关系型数据库 海量数据 |
Research on Large-Scale Data Processing Based on Hadoop and Relational Database |
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| Cheng Ying,Zhang Yunyong,Xu Lei,Fang Bingyi.Research on Large-Scale Data Processing Based on Hadoop and Relational Database[J].Telecommunications Science,2010,26(11). |
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| Authors: | Cheng Ying Zhang Yunyong Xu Lei Fang Bingyi |
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| Institution: | Cheng Ying,Zhang Yunyong,Xu Lei,Fang Bingyi (China Unicom Research Institute,Beijing 100048,China) |
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| 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. |
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| Keywords: | cloud computing relational database large-scale data |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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