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Hadoop Administrations

Hadoop Admin training equips you with the knowledge and skills to plan, install, configure, manage, secure, monitor, and troubleshoot Hadoop Eco System components and cluster. The Hadoop Admin course is a perfect blend of interactive lectures, hands-on practice, and job-oriented curriculum. This Big Data Hadoop training course gives you a comprehensive understanding on the successful implementation of real-life Hadoop for industry projects.

Course Duration :- 40 hours
Upon the completion of the Informatica course, the candidates will be able to do the following:
Recognize and identify daemons and understand the normal operation of an Apache Hadoop cluster, both in data storage and in data processing. Describe the current features of computing systems that motivate a system like Apache Hadoop.


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Educated Staff


Video Lessons

Modules / Levels

1.The Case for Apache Hadoop

Brief History of Hadoop

Core Hadoop Components

Fundamental Concepts

2. Hadoop Distributed File System

HDFS Features

HDFS Design Assumptions

Overview of HDFS Architecture

Writing and Reading Files

Name Node Considerations

An Overview of HDFS Security

Hands-On Exercise

3. MapReduce

What Is MapReduce?

Features of MapReduce

Basic MapReduce Concepts

Architectural Overview

MapReduce Version 2

Failure Recovery

Hands-On Exercise

4. Overview of the Hadoop Ecosystem

What is the Hadoop Ecosystem?

Integration Tools

Analysis Tools

Data Storage and Retrieval Tools

5. Planning your Hadoop Cluster

General planning Considerations

Choosing the Right Hardware

Network Considerations

Configuring Nodes

6. Hadoop Installation

Deployment Types

Installing Hadoop

Using Hadoop Manager for Easy Installation

Basic Configuration Parameters

Hands-On Exercise

7. Advanced Configuration

Advanced Parameters

Configuring Rack Awareness

Configuring Federation

Configuring High Availability

Using Configuration Management Tools

8. Hadoop Security

Why Hadoop Security Is Important

Hadoop’s Security System Concepts

What Kerberos Is and How it Works

Configuring Kerberos Security

Integrating a Secure Cluster with Other Systems

9. Managing and Scheduling Jobs

Managing Running Jobs

Hands-On Exercise

FIFO Scheduler


Configuring the FairScheduler

Hands-On Exercise

10. Cluster Maintenance

Checking HDFS Status

Hands-On Exercise

Copying Data Between Clusters

Adding and Removing Cluster Nodes

Rebalancing the Cluster

Hands-On Exercise

NameNode Metadata Backup

Cluster Upgrading

11. Cluster Monitoring and Troubleshooting

General System Monitoring

Managing Hadoop’s Log Files

Using the NameNode and JobTracker Web UIs

Hands-On Exercise

Cluster Monitoring with Ganglia

Common Troubleshooting Issues

Benchmarking Your Cluster

12. Populating HDFS From External Sources

An Overview of Flume

Hands-On Exercise

An Overview of Sqoop

Best Practices for Importing Data




14. Hadoop Distributed File System (HDFS)

HDFS Design

HDFS Daemons

HDFS Federation


Securing HDFS (Kerberos)

File Read and Write Paths

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  • Assessments and Mock Tests