Hadoop Administration

Course Overview

Hadoop Admin Training is a course designed to teach participants how to install, configure, and maintain a Hadoop cluster. It covers topics such as setting up and configuring Hadoop clusters, managing and monitoring Hadoop clusters, and performing routine maintenance tasks. This course is geared towards system administrators or IT professionals who are responsible for managing Hadoop clusters in production environments.

At the end of the training, participants will be able to:

  1. To learn the fundamentals of the Hadoop distributed computing framework and how it works.
  2. To understand how to set up and configure a Hadoop cluster.
  3. To learn how to manage and monitor a Hadoop cluster.
  4. To gain experience in optimizing Hadoop for different workloads.
  5. To learn how to troubleshoot and resolve issues with a Hadoop cluster.

Pre-requisite

  1. Basic understanding of Linux operating system and command line interface
  2. Familiarity with database concepts and SQL
  3. Experience with programming languages such as Java or Python
  4. Understanding of distributed computing concepts
  5. Basic knowledge of data analytics and data management principles

Duration

2 days

Course Outline

  1. Overview of Hadoop and its history
  2. Introduction to the different components of a Hadoop cluster
  1. Installing Hadoop on a single node
  2. Setting up a multi-node Hadoop cluster
  3. Configuring Hadoop for different deployment scenarios
  1. Understanding the role of the Hadoop administrator
  2. Monitoring the health and performance of a Hadoop cluster
  3. Performing routine maintenance tasks on Hadoop clusters
  1. Understanding the different processing models in Hadoop
  2. Configuring Hadoop for batch processing and interactive queries
  3. Tuning Hadoop for different workloads
  • Common issues with Hadoop clusters and how to troubleshoot them
  • Debugging Hadoop applications
  • Tips and tricks for troubleshooting common issues
  1. Managing Hadoop user accounts and permissions
  2. Integrating Hadoop with other systems and tools
  3. Advanced Hadoop security and data governance topics

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