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README.md
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README.md
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1. [分布式文件存储系统——HDFS](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Hadoop-HDFS.md)
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2. [分布式计算框架——MapReduce](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Hadoop-MapReduce.md)
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3. [集群资源管理器——YARN](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Hadoop-YARN.md)
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4. [Hadoop单机伪集群环境搭建](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/hadoop%E5%8D%95%E6%9C%BA%E7%89%88%E6%9C%AC%E7%8E%AF%E5%A2%83%E6%90%AD%E5%BB%BA.md)
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4. [Hadoop单机伪集群环境搭建](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/hadoop单机版本环境搭建.md)
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5. [HDFS常用Shell命令](https://github.com/heibaiying/BigData-Notes/blob/master/notes/HDFS常用Shell命令.md)
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6. [HDFS Java API的使用](https://github.com/heibaiying/BigData-Notes/blob/master/notes/HDFS-Java-API.md)
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## 二、Hive
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1. [数据仓库Hive简介](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Hive.md)
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2. [Linux环境下Hive的安装部署](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/Linux%E7%8E%AF%E5%A2%83%E4%B8%8BHive%E7%9A%84%E5%AE%89%E8%A3%85%E9%83%A8%E7%BD%B2.md)
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2. [Linux环境下Hive的安装部署](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/Linux环境下Hive的安装部署.md)
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4. [Hive CLI和Beeline命令行的基本使用](https://github.com/heibaiying/BigData-Notes/blob/master/notes/HiveCLI和Beeline命令行的基本使用.md)
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5. [Hive 核心概念讲解](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Hive核心概念讲解.md)
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6. [Hive 常用DDL操作](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Hive常用DDL操作.md)
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@ -94,53 +94,35 @@
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3. [Spark Streaming 整合 Flume](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Spark_Streaming整合Flume.md)
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4. [Spark Streaming 整合 Kafka](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Spark_Streaming整合Kafka.md)
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## 四、Flink
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TODO
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## 五、Storm
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## 四、Storm
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1. [Storm和流处理简介](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Storm和流处理简介.md)
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2. [Storm核心概念详解](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Storm核心概念详解.md)
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3. [Storm单机版本环境搭建](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/Storm%E5%8D%95%E6%9C%BA%E7%89%88%E6%9C%AC%E7%8E%AF%E5%A2%83%E6%90%AD%E5%BB%BA.md)
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3. [Storm单机版本环境搭建](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/Storm单机版本环境搭建.md)
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4. [Storm编程模型详解](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Storm编程模型详解.md)
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5. [Storm项目三种打包方式对比分析](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Storm三种打包方式对比分析.md)
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6. [Storm集成Redis详解](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Storm集成Redis详解.md)
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7. [Storm集成HDFS/HBase](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Storm集成HBase和HDFS.md)
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8. [Storm集成Kafka](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Storm集成Kakfa.md)
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## 六、Flume
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## 五、Flink
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1. [Flume简介及基本使用](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Flume简介及基本使用.md)
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2. [Linux环境下Flume的安装部署](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/Linux%E4%B8%8BFlume%E7%9A%84%E5%AE%89%E8%A3%85.md)
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3. [Flume整合Kafka](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Flume整合Kafka.md)
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TODO
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## 七、Sqoop
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1. [Sqoop简介与安装](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Sqoop简介与安装.md)
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2. [Sqoop的基本使用](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Sqoop基本使用.md)
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## 八、Azkaban
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1. [Azkaban简介](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Azkaban简介.md)
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2. [Azkaban3.x 编译及部署](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/Azkaban%203.x%20%E7%BC%96%E8%AF%91%E5%8F%8A%E9%83%A8%E7%BD%B2.md)
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3. [Azkaban Flow 1.0 的使用](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Azkaban%20Flow%201.0%20%E7%9A%84%E4%BD%BF%E7%94%A8.md)
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4. [Azkaban Flow 2.0 的使用](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Azkaban%20Flow%202.0%20%E7%9A%84%E4%BD%BF%E7%94%A8.md)
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## 九、HBase
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## 六、HBase
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1. [Hbase 简介](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Hbase简介.md)
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2. [HBase系统架构及数据结构](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Hbase%E7%B3%BB%E7%BB%9F%E6%9E%B6%E6%9E%84%E5%8F%8A%E6%95%B0%E6%8D%AE%E7%BB%93%E6%9E%84.md)
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3. [HBase基本环境搭建（Standalone /pseudo-distributed mode）](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/Hbase%E5%9F%BA%E6%9C%AC%E7%8E%AF%E5%A2%83%E6%90%AD%E5%BB%BA.md)
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4. [HBase常用Shell命令](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Hbase%20Shell.md)
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5. [HBase Java API](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Hbase%20Java%20API.md)
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2. [HBase系统架构及数据结构](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Hbase系统架构及数据结构.md)
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3. [HBase基本环境搭建（Standalone /pseudo-distributed mode）](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/Hbase基本环境搭建.md)
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4. [HBase常用Shell命令](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Hbase_Shell.md)
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5. [HBase Java API](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Hbase_Java_API.md)
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6. [Hbase 过滤器详解](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Hbase过滤器详解.md)
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7. [HBase 协处理器详解](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Hbase协处理器详解.md)
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8. [HBase 容灾与备份](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Hbase%E5%AE%B9%E7%81%BE%E4%B8%8E%E5%A4%87%E4%BB%BD.md)
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9. [HBase的SQL中间层——Phoenix](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Hbase%E7%9A%84SQL%E5%B1%82%E2%80%94%E2%80%94Phoenix.md)
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10. [Spring/Spring Boot 整合 Mybatis + Phoenix](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Spring%2BMybtais%2BPhoenix%E6%95%B4%E5%90%88.md)
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## 十、Kafka
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8. [HBase 容灾与备份](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Hbase容灾与备份.md)
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9. [HBase的SQL中间层——Phoenix](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Hbase的SQL中间层_Phoenix.md)
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10. [Spring/Spring Boot 整合 Mybatis + Phoenix](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Spring+Mybtais+Phoenix整合.md)
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## 七、Kafka
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1. [Kafka 核心概念介绍](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Kafka核心概念介绍.md)
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2. [基于Zookeeper搭建Kafka高可用集群](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/基于Zookeeper搭建Kafka高可用集群.md)
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5. Kafka 副本机制以及选举原理剖析
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6. Kafka的数据可靠性
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## 十一、Zookeeper
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## 八、Zookeeper
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1. [Zookeeper 简介及核心概念](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Zookeeper简介及核心概念.md)
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2. [Zookeeper单机环境和集群环境搭建](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/Zookeeper单机环境和集群环境搭建.md)
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4. [Zookeeper Java 客户端——Apache Curator](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Zookeeper_Java客户端Curator.md)
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5. [Zookeeper ACL权限控制](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Zookeeper_ACL权限控制.md)
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## 九、Flume
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1. [Flume简介及基本使用](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Flume简介及基本使用.md)
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2. [Linux环境下Flume的安装部署](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/Linux下Flume的安装.md)
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3. [Flume整合Kafka](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Flume整合Kafka.md)
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## 十、Sqoop
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1. [Sqoop简介与安装](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Sqoop简介与安装.md)
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2. [Sqoop的基本使用](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Sqoop基本使用.md)
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## 十一、Azkaban
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1. [Azkaban简介](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Azkaban简介.md)
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2. [Azkaban3.x 编译及部署](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/Azkaban_3.x_编译及部署.md)
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3. [Azkaban Flow 1.0 的使用](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Azkaban_Flow_1.0_的使用.md)
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4. [Azkaban Flow 2.0 的使用](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Azkaban_Flow_2.0_的使用.md)
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## 十二、Scala
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1. [Scala简介及开发环境配置](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Scala简介及开发环境配置.md)
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13. [隐式转换和隐式参数](https://github.com/heibaiying/BigData-Notes/blob/master/notes/Scala隐式转换和隐式参数.md)
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## 十三、公共内容
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1. [大数据应用常用打包方式](https://github.com/heibaiying/BigData-Notes/blob/master/notes/大数据应用常用打包方式.md)
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<br>
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## 后记:bookmark_tabs:
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1. [Linux环境下JDK安装](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/Linux下JDK安装.md)
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2. [Linux环境下Python安装](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/Linux下Python安装.md)
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### 二、Hadoop
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1. [Hadoop单机版本环境搭建](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/hadoop%E5%8D%95%E6%9C%BA%E7%89%88%E6%9C%AC%E7%8E%AF%E5%A2%83%E6%90%AD%E5%BB%BA.md)
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1. [Hadoop单机版本环境搭建](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/hadoop单机版本环境搭建.md)
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2. Hadoop集群环境搭建
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3. 基于Zookeeper搭建Hadoop的HA集群
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### 三、Spark
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1. [Spark单机版本环境搭建](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/Spark单机版本环境搭建.md)
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2. Spark集群环境搭建
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### 四、Storm
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1. [Storm单机版本环境搭建](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/Storm单机版本环境搭建.md)
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2. Storm集群环境搭建
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### 五、Hbase
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1. [Hbase基本环境搭建](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/Hbase%E5%9F%BA%E6%9C%AC%E7%8E%AF%E5%A2%83%E6%90%AD%E5%BB%BA.md)
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1. [Hbase基本环境搭建](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/Hbase基本环境搭建.md)
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2. Hbase集群环境搭建
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### 六、Flume
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1. [Linux环境下Flume的安装部署](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/Linux%E4%B8%8BFlume%E7%9A%84%E5%AE%89%E8%A3%85.md)
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1. [Linux环境下Flume的安装部署](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/Linux下Flume的安装.md)
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### 七、Azkaban
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1. [Azkaban3.x编译及部署](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/Azkaban%203.x%20%E7%BC%96%E8%AF%91%E5%8F%8A%E9%83%A8%E7%BD%B2.md)
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1. [Azkaban3.x编译及部署](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/Azkaban_3.x_编译及部署.md)
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### 八、Hive
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1. [Linux环境下Hive的安装部署](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/Linux%E7%8E%AF%E5%A2%83%E4%B8%8BHive%E7%9A%84%E5%AE%89%E8%A3%85%E9%83%A8%E7%BD%B2.md)
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1. [Linux环境下Hive的安装部署](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/Linux环境下Hive的安装部署.md)
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### 九、Zookeeper
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1. [Zookeeper单机环境和集群环境搭建](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/Zookeeper单机环境和集群环境搭建.md)
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### 十、Kafka
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1. [基于Zookeeper搭建Kafka高可用集群](https://github.com/heibaiying/BigData-Notes/blob/master/notes/installation/基于Zookeeper搭建Kafka高可用集群.md)
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