数字技术与应用Issue(8)：233-234,2.
基于MapReduce和RDBMS的大数据分析对比
刘晓霞1
作者信息
- 1. 四川水利职业技术学院信息工程系 四川崇州 611231
- 折叠
摘要
Abstract
With the constant improvement of informatization level, Data analysis based on MapReduce attracts more and more attention. For large scale dataset, common relational database management system is hard to meet the actual demand. In this paper, MapReduce-based method for big data analysis is proposed, and compared with SQL server on data analysis performance, experimental results show the load times of MapReduce is much less than SQL server, the performance of MapReduce is better than SQL server with the increase of dataset, and the performance of MapReduce also enhances with the number of nodes increased. Therefore, MapReduce is provided with better scalability and speedup, and suitable for processing large-scale data.关键词
大数据/MapReduce/SQLKey words
big data/MapReduce/SQL分类
信息技术与安全科学引用本文复制引用
刘晓霞..基于MapReduce和RDBMS的大数据分析对比[J].数字技术与应用,2013,(8):233-234,2.
