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大数据毕业设计【篇一：基于hadoop数据分析系统设计(优秀毕业设计)】摘要随着云时代的来临，大数据也吸引越来越多的关注，企业在日常运营中生成、积累的用户网络行为数据。这些数据是如此庞大，计量单位通常达到了pb、eb甚至是zb。hadoop作为一个开源的分布式文件系统和并行计算编程模型得到了广泛的部署和应用。本文将介绍hadoop完全分布式集群的具体搭建过程与基于hive的数据分析平台的设计与实现。关键字hadoop，mapreduce，hiveabstractwiththeadventofcloud,bigdataalsoattractmoreandmoreattention,theenterpriseofthegenerationandaccumulationinthedailyoperationoftheusernetworkbehaviordata.thedataissolarge,themeasuringunitisusuallyachievedthepb,eb,andeventhezb.thehadoopdistributedfilesystemasanopensource,andparallelcomputingprogrammingmodelhasbeenwidelydeployedandapplication.thisarticleintroduceshadoopcompletelydistributedclusterprocessofconcretestructures,andthedesignandimplementationofdataanalysisplatformbasedonthehive.keywordshadoop，mapreduce，hive目录第一章第二章第三章3.13.23.33.43.53.6某某企业数据分析系统设计需求分析......................................................3hadoop简介..............................................................................................4hadoop单一部署......................................................................................7hadoop集群部署拓扑图.................................................................................7安装操作系统centos......................................................................................8hadoop基础配置...........................................................................................14ssh免密码登录............................................................................................17安装jdk.........................................................................................................18安装hadoop..................................................................................................193.6.1安装32位hadoop......................................................................................193.6.2安装64位hadoop......................................................................................283.73.8hadoop优化...................................................................................................32hive安装与配置............................................................................................333.8.1hive安装.....................................................................................................333.8.2使用mysql存储metastore.....................................................................333.8.3hive的使用.................................................................................................363.9hbase安装与配置..........................................................................................379.1hbase安装.....................................................................................................379.2hbase的使用.................................................................................................393.10集群监控工具ganglia..................................................................................43第四章hadoop批量部署....................................................................................484.1安装操作系统批量部署工具cobbler..............................................................484.2安装...