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Cloud Computing and Virtualisation

Cloudera Administrator Training for Apache Hadoop

  • Length 4 days
  • Price $4620 inc GST
Course overview
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Why study this course

This four-day administrator course provides the technical background you need to manage and scale a Cloudera cluster in a development or production environment. This is the core administrator learning path curriculum.

Take your knowledge to the next level with Cloudera’s Administrator Training and Certification. This four-day administrator training course provides participants with a comprehensive understanding of all the steps necessary to operate and maintain a Hadoop cluster using Cloudera Manager. From installation and configuration through load balancing and tuning, this training course is the best preparation for the real-world challenges faced by Cloudera administrators.

Administrators who earn CCA Administrator Certification by sitting an exam subsequent to this course, have demonstrated technical knowledge in the ability to configure, deploy, maintain, and secure an Apache Hadoop cluster.

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What you’ll learn

Through instructor-led discussion and interactive, hands-on exercises, participants will navigate the Hadoop ecosystem, learning skills such as:

  • The internals of YARN, MapReduce, and HDFS

  • Determining the correct hardware and infrastructure for your cluster

  • Proper cluster configuration and deployment to integrate with the data center

  • How to load data into the cluster from dynamically-generated files using Flume and from RDBMS using Sqoop

  • 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


Cloudera at DDLS

Cloudera provides a scalable, flexible, integrated platform that makes it easy to manage rapidly increasing volumes and varieties of data in your enterprise. Cloudera products and solutions enable you to deploy and manage Apache Hadoop and related projects, manipulate and analyse your data, and keep that data secure and protected.


Stay ahead of the technology curve

Don’t let your tech outpace the skills of your people

Quality instructors and content

Expert instructors with real world experience and the latest vendor- approved in-depth course content.

Partner-Preferred Supplier

Chosen and awarded by the world’s leading vendors as preferred training partner.

Ahead of the technology curve

No matter your chosen technologies or platforms, we can help you stay one step ahead.

Who is the course for?

This course is best suited to:

  • systems administrators

  • IT managers


Course subjects

The Case for Apache Hadoop

  • Why Hadoop?

  • Fundamental Concepts

  • Core Hadoop Components

Hadoop Cluster Installation

  • Rationale for a Cluster Management Solution

  • Cloudera Manager Features

  • Cloudera Manager Installation

  • Hadoop (CDH) Installation

The Hadoop Distributed File System (HDFS)

  • HDFS Features

  • Writing and Reading Files

  • NameNode Memory Considerations

  • Overview of HDFS Security

  • Web UIs for HDFS

  • Using the Hadoop File Shell

MapReduce and Spark on YARN

  • The Role of Computational Frameworks

  • YARN: The Cluster Resource Manager

  • MapReduce Concepts

  • Apache Spark Concepts

  • Running Computational Frameworks on YARN

  • Exploring YARN Applications Through the Web UIs, and the Shell

  • YARN Application Logs

Hadoop Configuration and Daemon Logs

  • Cloudera Manager Constructs for Managing Configurations

  • Locating Configurations and Applying Configuration Changes

  • Managing Role Instances and Adding Services

  • Configuring the HDFS Service

  • Configuring Hadoop Daemon Logs

  • Configuring the YARN Service

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

Planning Your Hadoop Cluster

  • General Planning Considerations

  • Choosing the Right Hardware

  • Virtualisation Options

  • Network Considerations

  • Configuring Nodes

Installing and Configuring Hive, Impala, and Pig

  • Hive

  • Impala

  • Pig

Hadoop Clients Including Hue

  • What Are Hadoop Clients?

  • Installing and Configuring Hadoop Clients

  • Installing and Configuring Hue

  • Hue Authentication and Authorisation

Advanced Cluster Configuration

  • Advanced Configuration Parameters

  • Configuring Hadoop Ports

  • 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

  • Other Security Concepts

Managing Resources

  • Configuring cgroups with Static Service Pools

  • The Fair Scheduler

  • Configuring Dynamic Resource Pools

  • YARN Memory and CPU Settings

  • Impala Query Scheduling

Cluster Maintenance

  • Checking HDFS Status

  • Copying Data Between Clusters

  • Adding and Removing Cluster Nodes

  • Rebalancing the Cluster

  • Directory Snapshots

  • Cluster Upgrading

Cluster Monitoring and Troubleshooting

  • Cloudera Manager Monitoring Features

  • Monitoring Hadoop Clusters

  • Troubleshooting Hadoop Clusters

  • Common Misconfigurations


Prerequisites

  • Participants should have basic Linux experience.

  • Prior knowledge of Apache Hadoop is not required.


Terms & Conditions

The supply of this course by DDLS is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.



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By submitting an enquiry, you agree to our privacy policy and receiving email and other forms of communication from us. You can opt-out at any time.