基于Hadoop的Web医疗咨询数据分析系统的实现  

The implementation of Hadoop-based Web consulting medical data analysis system

作　　者：张国锋 ZHANG Guofeng(School of Computer Science and Technology,Donghua University,Shanghai 201620,China)

机构地区：[1]东华大学计算机科学与技术学院,上海201620

出　　处：《智能计算机与应用》2018年第4期103-105,111,共4页Intelligent Computer and Applications

摘　　要：相对传统的分布式数据库和数据仓库技术,Hadoop和Map Reduce技术以其简单性、良好的可扩展性和容错性成为当前大规模数据处理的主流技术之一。而Hive等软件产品在Hadoop基础上实现了与关系数据库的接口模式,从而进一步改善了Hadoop的易用性。数据存储使用Hadoop分布式存储,使用Hive特有的数据库语言Hive QL实现数据的查询以及分析操作。最后使用Java JFree Chart实现结果可视化,将结果以柱状图的形式显示出来。由于使用Hadoop作为基础,数据的查询分析速度更快,能够更好地与系统后台对接,方便管理者操作。Compared to traditional distributed database and data warehouse technologies,Hadoop and MapReduce technologies become one of the mainstream of the current large-scale data processing for their simplicity,good scalability and fault tolerance. The Hive and other software products based on the Hadoop implement the interface and model of relational database,thereby further improve the easy using of Hadoop. Correspondingly,the frame structure arouses widespread attention and achieves extensive use.Hadoop-based Web consulting medical data analysis system is based on Hadoop which could be able to query and analyze data already stored in the system. Data is stored by using the Hadoop Distributed Storage,and by using the special database language HiveQL of Hive,the query and analysis of operating data are implemented. Finally,the use of Java JFreeChart achieves result visualization,the results are displayed in bar graph. Using Hadoop as a basis,data query and analysis are faster,which could better interface with the system to facilitate the operation of the administrator.

关 键 词：数据分析 分布式存储 Hive JFREECHART 

分 类 号：TP393.09[自动化与计算机技术—计算机应用技术]