Apache Ambari

Live Online (VILT) & Classroom Corporate Training Course

Ambari is open source and helps make working with Hadoop easier since it consolidates all things Hadoop under one roof and provides an easy-to-use web interface and a vast collection of Restful APIs.

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Apache Ambari

Overview

This course will help you learn about Ambari architecture, and installation. You will learn how Ambari is configured for Hadoop and its various components that are used to manage and monitor the Hadoop clusters.

Objectives

At the end of Apache Ambari training course, participants will learn

  • Advantages of Ambari
  • Installation and architecture of Ambari
  • How to configure Ambari for specific Hadoop clusters
  • The Ambari Install Wizard and Ambari Web app
  • Understand the various components to manage and monitor Hadoop clusters
  • Learn about the Ambari support for Hadoop 2.0

Prerequisites

This workshop does not require any special skills.

Course Outline

Introduction to Ambari2021-06-29T12:07:31+05:30
  • Features
  • Advantages
Ambari Installation & Architecture2021-06-29T12:07:58+05:30
Ambari Server & Agent2021-06-29T12:08:17+05:30
  • Ambari Server concept
  • Ambari Agent
    • One per machine in cluster
    • Working with clusters
    • Managing
    • Monitoring and administering the Hadoop cluster setup
Ambari Management2021-06-29T12:08:34+05:30
  • Manage Haoop clusters with Ambari
  • Ambari Install Wizard
  • Ambari Web App
  • Supporting Hadoop stacks
  • Adding new components to current stack
  • Host control management
  • Pre-configured metrics and alerts for monitoring Hadoop cluster
Ambari Advanced Concepts2021-06-29T12:09:10+05:30
  • Configuring to work with Hadoop 2.0 and YARN
  • Deploying headless installation and cluster takeover
  • Working in physical and virtual environment
  • Extreme scalability
  • Single point of control for cluster operations
  • Automatically assigning roles to nodes
  • Ensuring best security
  • Performance and memory utilization at all times
2023-01-06T15:24:35+05:30

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