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Hadoop管理认证培训(CCAH)
课程大纲
认证须知
开课计划
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常见问题
培训对象
系统管理员或者任何需要管理Apache Hadoop机群的人员(包括产品及开发环境);
企业管理者、CIO、CTO、政府信息部门官员、项目（开发）经理、咨询顾问;
IT经理，IT咨询顾问，IT支持专家;
系统工程师、数据中心管理员、云计算管理员及想加入云计算队伍的您。
学习基础
需要具备和掌握Linux系统管理和网络相关技能和经验。无需具备Hadoop基础和经验。
课程收益
- Hadoop分布式文件系统和MapReduce工作原理 - Hadoop集群硬件配置规划 - Hadoop集群网络配置规划 - Hadoop集群配置及优化 - 如何配置NameNode HA - 任何配置NameNode Federation | - 任何配置FairScheduler为多用户共享Hadoop集群 - 任何为Hadoop集群安装和实现基于Kerberos的安全性 - 如何维护和监测Hadoop集群 - 如何使用Flume加载动态产生的文件以及使用Sqoop连接关系数据库进行数据导入导出 - Hive、Pig和HBase等Hadoop生态系统工具相关的系统管理工作 |
模块 | 内容 |
The Case for Apache Hadoop | - Why Hadoop? - A Brief History of Hadoop - Core Hadoop Components - Fundamental Concepts |
HDFS | - HDFS Features - Writing and Reading Files - NameNode Considerations - Overview of HDFS Security - Using the Namenode Web UI - Using the Hadoop File Shell |
Getting Data into HDFS | - Ingesting Data from External Sources with Flume - Ingesting Data from Relational Databases with Sqoop - REST Interfaces - Best Practices for Importing Data |
MapReduce | - What Is MapReduce? - Features of MapReduce - Basic Concepts - Architectural Overview - MapReduce Version 2 - Failure Recovery - Using the JobTracker Web UI |
Planning Your Hadoop Cluster | - General Planning Considerations - Choosing the Right Hardware - Network Considerations - Configuring Nodes - Planning for Cluster Management |
Hadoop Installation and Initial Configuration | - Deployment Types - Installing Hadoop - Specifying the Hadoop Configuration - Performing Initial HDFS Configuration - Performing Initial MapReduce Configuration - Log File Locations |
Installing and Configuring Hive, Impala, and Pig | - Hive - Impala - Pig |
Hadoop Clients | - What is a Hadoop Client? - Installing and Configuring Hadoop Clients - Installing and Configuring Hue - Hue Authentication and Configuration |
Cloudera Manager | - The Motivation for Cloudera Manager - Cloudera Manager Features - Standard and Enterprise Versions - Cloudera Manager Topology - Installing Cloudera Manager - Installing Hadoop Using Cloudera Manager - Performing Basic Administration Tasks - Advanced Cluster Configuration - Advanced Configuration Parameters - Configuring Hadoop Ports - Explicitly Including and Excluding Hosts - Configuring HDFS for Rack Awareness - Configuring HDFS High Availability |
Hadoop Security | - Why Hadoop Security Is Important - Hadoop’s Security System Concepts - What Kerberos Is and How it Works - Securing a Hadoop Cluster with Kerberos |
Managing and Scheduling Jobs | - Managing Running Jobs - Scheduling Hadoop Jobs - Configuring the FairScheduler Cluster Maintenance - Checking HDFS Status - Copying Data Between Clusters - Adding and Removing Cluster Nodes - Rebalancing the Cluster - NameNode Metadata Backup - Cluster Upgrading |
Cluster Monitoring and Troubleshooting | - General System Monitoring - Managing Hadoop’s Log Files - Monitoring Hadoop Clusters - Common Troubleshooting Issues |
认证考试
参加培训的学员将获得Cloudera Certified Administrator for Apache Hadoop (CCAH) 认证， 考试代码：CCA-410
开课计划
| 开课地点 | 开课日期 | 课程名称 |
| 上海 | 4月11-14日 | Cloudera Administrator Training for Apache Hadoop(CCA131) |
| 上海 | 4月18-21日 | Cloudera Developer Training for Spark and Hadoop(CCA-175) |
| 深圳 | 4月21-24日 | Cloudera Administrator Training for Apache Hadoop(CCA131) |
| 北京 | 4月21-24日 | Cloudera Administrator Training for Apache Hadoop(CCA131) |
| 上海 | 5月12-15日 | Cloudera Data Analyst Training（CCA159） |
| 深圳 | 5月19-22日 | Cloudera Developer Training for Spark and Hadoop(CCA-175) |
| 上海 | 5月24-27日 | Cloudera Administrator Training for Apache Hadoop(CCA131) |
| 北京 | 5月26-29日 | Cloudera Developer Training for Spark and Hadoop(CCA-175) |
| 深圳 | 6月9-12日 | Cloudera Administrator Training for Apache Hadoop(CCA131) |
| 上海 | 6月23-26日 | Cloudera Developer Training for Spark and Hadoop(CCA-175) |
| 北京 | 6月27-30日 | Cloudera Administrator Training for Apache Hadoop(CCA131) |
Hadoop是什么？
Hadoop是一个开发和运行处理大规模数据的软件平台,是Appach的一个用java语言实现开源软件框架，实现在大量计算机组成的集群中对海量数据进行分布式计算.
Hadoop框架中最核心设计就是：HDFS和MapReduce.HDFS提供了海量数据的存储,MapReduce提供了对数据的计算.
数据在Hadoop中处理的流程可以简单的按照下图来理解:数据通过Haddop的集群处理后得到结果.
知识分享
