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About Hadoop Administration

Hadoop Administration training for System Administrators is designed for technical operations personnel whose job is to install and maintain production Hadoop clusters in real world. We will cover Hadoop architecture and its components installation process monitoring and troubleshooting of the complex Hadoop issues. The training is focused on practical hands-on exercises and encourages open discussions of how people are using Hadoop in enterprises dealing with large data sets.

Become a Big Data Administrator by learning concepts of Hadoop and implement advanced operations on Hadoop Clusters at “Learn 2 Succeed”

This Hadoop Administration Training Course from “Learn 2 Succeed” will provide you with all the skills in order to successful work as a Hadoop Administrator. This Course includes fundamentals of Hadoop, Hadoop Clusters, HDFS, MapReduce and HBase. The training will make you proficient in working with Hadoop clusters and deploy that knowledge on real world projects.

Course Overview:

  • Understand Hadoop main components and Architecture
  • Be comfortable working with Hadoop Distributed File System
  • Cloudera Manager features that make managing your clusters easier
  • The internals of YARN, MapReduce, Spark, and HDFS
  • Determining the appropriate hardware and infrastructure for your cluster
  • 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
  • Best practices for preparing and maintaining Apache Hadoop in production
  • Troubleshooting, diagnosing, tuning, and solving Hadoop issues
  • Deal with Hadoop component failures and recoveries
  • Get familiar with related Hadoop projects: Hive, Impala, Pig, HBase, Spark, Oozie and HU
  • Know best practices of using Hadoop in enterprise world

Audience for Hadoop Certification Training:

  • System Administrators and Support Engineers who will maintain and troubleshoot Hadoop clusters in production or development environments.

Prerequisites of Taking this course:

Basic knowledge of Unix and system administration. Prior knowledge of Hadoop is not required.

Key Features

  • 14 hours of high quality training of Hadoop
  • Trainers are Industry experts & working professionals
  • Comprehensive up-to date contents
  • Exercises & Hands-on assignments
  • Course completion certificate
  • How are the classes conducted?

    • Class Room Training

    Group Discount

    • 10% discount for 2 or more registration

    Big Data Hadoop Administration

    The Case for Apache Hadoop

    • Why Hadoop?
    • Fundamental Concepts
    • Core Hadoop Components

    Hadoop Cluster Installation

    • Rationale for a Cluster Management Solution
    • Cluster capacity planning
    • Network topology for Hadoop cluster
    • Ambari Features
    • Ambari Features
    • Hadoop (CDH) Installation
    • Hadoop Multi Node Cluster Setup using Amazon EC2 – Setting up a 4 node cluster

    Hadoop Distributed File System (HDFS

    • HDFS overview and design
    • HDFS architecture o NameNode Memory Considerations
    • Component failures and recoveries
    • Web UIs for HDFS
    • Using the Hadoop FsShell

    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 UI
    • YARN Application Logs

    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

    Advanced Cluster Configuration

    • Advanced Configuration Parameters
    • Configuring Hadoop Ports
    • Configuring HDFS High Availability

    Cluster Maintenance

    • Checking HDFS Status
    • Adding and Removing Cluster Nodes
    • Rebalancing the Cluster
    • Directory Snapshots
    • Cluster Upgrading

    Cluster Monitoring and Troubleshooting

    • Ambari Monitoring Features
    • Monitoring Hadoop Clusters
    • Troubleshooting Hadoop Clusters

    Hadoop Ecosystem components overview

    • Introduction to Impala, Spark, HBase, Hive, Pig, Oozie, HUE and ZooKeeper

    For more detailed curriculum Download the PDF Document

    Download Curriculum


    1. Who are the instructors?
    We believe in quality & follow a rigorous process in selecting our trainers. All our trainers are industry experts/ professionals with an experience in delivering trainings.
    2. Whom do I contact, if I have further clarifications?

    You can call us on:
    080 - 4095 1303 or

    Email at:

    3. What if I miss the class?
    You are eligible to attend the missed sessions in the next batch.
    4. Do I get certification?
    After the completion of the training, you will be awarded the course completion certificate from “Learn 2 Succeed”.