This 4-day training course provides participants with the skills needed to operate and maintain an Apache Hadoop cluster. The course covers topics such as hardware requirements, HDFS configuration, YARN and MapReduce, installing and configuring Hive and Pig, Hadoop security with Kerberos, and monitoring and troubleshooting clusters. It is intended for IT professionals interested in learning Cloudera administration or preparing for the Cloudera Certified Administrator for Apache Hadoop certification exam.

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v1.0 FEB, 2017
Cloudera Certified Admin for Hadoop Exam Prep. (CCAH)
Certificate: Cloudera Certified Administrator for Apache Hadoop
Duration: 4 days
Course Delivery: Classroom
Language: English
Credits: 24 PDU/CPE
Course Description:
This four-day administrator training course for Apache Hadoop provides participants with
a comprehensive understanding of all the steps necessary to operate and maintain a
Hadoop cluster.
Audience:
This course is suitable for working IT professionals
and are interested in learning Cloudera or those who
want to take the Cloudera Certified Administrator for
Apache Hadoop certification exam.
Learning Objectives:
At the end of this course, the participant will gain competencies in and be able to:
• Determining the correct hardware and infrastructure for your cluster
• Proper cluster configuration and deployment to integrate with the data center
• Configuring the FairScheduler to provide service-level agreements for multiple users
of a cluster
• Best practices for preparing and maintaining Apache Hadoop in production
• Troubleshooting, diagnosing, tuning, and solving Hadoop issues
Prerequisites:
Basic Linux System Administration experience.
Course Material:
Participants receive a copy of the classroom presentation material and the Participant
Handbook.
Student Laptop Hardware Requirements:
● Operating Systems: Windows 7 / Windows 10 / Mac OSX
● RAM : 1GB or more
● Web Browser : Internet Explorer 11 / Firefox / Safari

2. Copyright © 2017 Technix-Pro. All rights reserved www.technixpro.edu.hk
v1.0 FEB, 2017
Course Outline
Module 1 : THE CASE FOR APACHE HADOOP
• Why Hadoop?
• Core Hadoop Components
• Fundamental Concepts
Module 2 : HDFS
• HDFS Features
• Writing and Reading Files
• NameNode Memory Considerations
• Overview of HDFS Security
• Using the Namenode Web UI
• Using the Hadoop File Shell
Module 3 : 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
Module 4 : YARN & MAPREDUCE
• What Is MapReduce?
• Basic MapReduce Concepts
• YARN Cluster Architecture
• Resource Allocation
• Failure Recovery
• Using the YARN Web UI
• MapReduce Version 1
Module 5 : PLANNING YOUR HADOOP CLUSTER
• General Planning Considerations
• Choosing the Right Hardware
• Network Considerations
• Configuring Nodes
• Planning for Cluster Management
Module 6 : HADOOP INSTALLATION AND INITIAL
CONFIGURATION
• Deployment Types
• Installing Hadoop
• Specifying the Hadoop Configuration
• Performing Initial HDFS Configuration
• Performing Initial YARN and MapReduce
Configuration
• Hadoop Logging
Module 7 : INSTALLING AND CONFIGURING HIVE,
IMPALA, AND PIG
• Hive
• Impala
• Pig
Module 8 : HADOOP CLIENTS
• What is a Hadoop Client?
• Installing and Configuring Hadoop Clients
• Installing and Configuring Hue
• Hue Authentication and Authorization
Module 9 : CLOUDERA MANAGER
• The Motivation for Cloudera Manager
• Cloudera Manager Features
• Express and Enterprise Versions
• Cloudera Manager Topology
• Installing Cloudera Manager
• Installing Hadoop Using Cloudera Manager
• Performing Basic Administration Tasks Using
Cloudera Manager
Module 10 : ADVANCED CLUSTER
CONFIGURATION
• Advanced Configuration Parameters
• Configuring Hadoop Ports
• Explicitly Including and Excluding Hosts
• Configuring HDFS for Rack Awareness
• Configuring HDFS High Availability
Module 11: 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
Module 12: MANAGING AND SCHEDULING JOBS
• Managing Running Jobs
• Scheduling Hadoop Jobs
• Configuring the FairScheduler
• Impala Query Scheduling
Module 13 : CLUSTER MAINTAINENCE
• Checking HDFS Status
• Copying Data Between Clusters
• Adding and Removing Cluster Nodes
• Rebalancing the Cluster
• Cluster Upgrading
Module 14 : CLUSTER MONITORING &
TROUBLESHOOTING
• General System Monitoring
• Monitoring Hadoop Clusters
• Common Troubleshooting Hadoop Clusters
• Common Misconfigurations