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基于Hadoop3.0的用户行为数据离线分析可视化项目

项目简介

  1. 完成大数据项目的架构设计安装部署。
  2. 基于Hive3.0进行数据仓库的建立
  3. 完成离线数据的分析
  4. 产生活跃设备数(日活、月活)

所用组件为:Hadoop3.1.3、flume1.9、kafka2.11、spark3.0、hive3.1、zookeeper3.5.7、azkaban、superset

项目架构:

架构图

服务器集群:使用VirtualBox虚拟机和centos7完成,hadoop102 4G,hadoop103 3G,hadoop104 3G。

服务名称 子服务 服务器 hadoop102 服务器 hadoop103 服务器 hadoop104
HDFS NameNode
DataNode
SecondaryNameNode
Yarn NodeManager
Resourcemanager
Zookeeper Zookeeper Server
Flume(采集日志) Flume
Kafka Kafka
Flume(消费Kafka) Flume
Hive Hive
MySQL MySQL
Azkaban AzkabanWebServer
AzkabanExecutorServer
Superset

项目步骤

  1. 数据生成模块
  2. 数据采集模块
  3. 数据仓库建立
  4. Azkaban调度
  5. 使用superset进行可视化

mall-data-warehouse's People

Contributors

zhanziwei avatar

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