Hadoop Admin Classes in BTM Layout Bangalore

IT Networks offers the best Hadoop Admin Training in BTM Layout with most experienced professionals. We conduct all our students from the Basic Level of Hadoop Admin Classes to Advanced level. All these Classes are undergone not only theoretically, but also are executed on the real-time basis. Our Trainers are Real-time Working professionals in the Hadoop Admin Field from many years with hands on real time Hadoop Admin Project Knowledge.

IT Networks is a highly experienced Hadoop Admin Training Institute in BTM Layout. This has helped students to get placed in top MNCs. We Offer Hadoop Admin Classes in BTM Layout for working professionals and students. we offer Regular training classes in Morning Batches and Evening Batches we also offer Weekend Training classes and Fast-track Training Classes for Hadoop Admin Course.

Hadoop Admin training course content and Syllabus in Bangalore

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

Real time training

3. MapReduce

What Is MapReduce?

Features of MapReduce

Basic MapReduce Concepts

Architectural Overview

MapReduce Version 2

Failure Recovery

Real time training

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

Real time training

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

Real time training

FIFO Scheduler

FairScheduler

Configuring the FairScheduler

Real time training

10. Cluster Maintenance

Checking HDFS Status

Real time training

Copying Data Between Clusters

Adding and Removing Cluster Nodes

Rebalancing the Cluster

Real time training

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

Real time training

Cluster Monitoring with Ganglia

Common Troubleshooting Issues

Benchmarking Your Cluster

12. Populating HDFS From External Sources

An Overview of Flume

Real time training

An Overview of Sqoop

Best Practices for Importing Data

13. Installing and Managing Other Hadoop Projects

Hive

Pig

HBase

14. Hadoop Distributed File System (HDFS)

HDFS Design

HDFS Daemons

HDFS Federation

HDFS HA

Securing HDFS (Kerberos)

File Read and Write Paths