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Apache Ambari Bigdata Training

Learn about Configuring Ambari as per Hadoop clusters, Ambari Install Wizard and understand Ambari support for Hadoop 2.0

  • 16 hours of Instructor-led training
  • Basic to Advanced level
  • Hands-on learning
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Modes of Delivery

Key Features

16 hours of Instructor-led training sessions
Immersive hands-on sessions
Understand the basic and advanced concepts of Ambari framework
Learn how Ambari is configured for Hadoop & its various components used for monitoring the Hadoop clusters
Understand how the Ambari support for Hadoop 2.0
Our Apache Ambari experts will guide students in implementing the technology for future projects

Description

Apache Ambari Course

A name synonymous with scalable, distributed, and large scale computing is Apache Hadoop. A tool that helps for easy managing and monitoring of Hadoop is the web-based Apache Ambari. 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.

Zeolearn academy brings you a comprehensive Apache training that will introduce you to the world of the Ambari framework. You will learn about its architecture, and installation. With our specific examples and practical sessions, you will learn how Ambari is configured for Hadoop and its various components that are used to manage and monitor the Hadoop clusters. We provide the best coaching to help you work on real-world projects. Enrol today and master the Apache Ambari to quickly start a career in Big Data.

What you will learn from our Apache Ambari classes:

  • 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

Is this course right for you?

This Apache Ambari certification course is apt for:

  • Hadoop administrators, DevOps professionals
  • Database, mainframe & Hadoop testing professionals

Prerequisites:

This workshop does not require any special skills.

Curriculum

  • Ambari Server concept
  • Ambari Agent
    • One per machine in cluster
    • Working with clusters
    • Managing
    • Monitoring and administering the Hadoop cluster setup
  • 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
  • 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

Frequently Asked Questions

Hadoop is the de facto framework for managing and analysing Big Data. However, monitoring Hadoop clusters can be quite challenging for organisations. Simplifying its usage by bringing all that is needed to manage and monitor Hadoop under one umbrella is Apache Ambari. It makes it simple by providing a web UI backed by its Restful APIs.

Zeolearn’s course is perfect for you to pick up this tool and use it for career growth. The course will help you gain hands on expertise through the numerous examples, exercises and project work conducted through the course of the workshop. Join now and learn to leverage the power of Ambari for project and career success.

On completing the course, you will learn about:

  • Apache Ambari installation and architecture
  • Configuring Ambari as per Hadoop clusters
  • Various components of Ambari to manage and monitor clusters
  • Learn about Ambari Install Wizard
  • Work with Ambari Web app
  • Support Hadoop stacks and add new components
  • Understand Ambari support for Hadoop 2.0

Zeolearn brings you mentor driven courses that not only helps professionals gain theoretical expertise but also the practical experience in a wide variety of courses including courses on Big Data such as Apache Mahout and Comprehensive Pig, which are very popular. The fact that our workshops are mentor driven gives us an edge over other training institutes since you can learn from industry experts about the application and challenges of upcoming technologies. We have so far trained thousands of professionals with the skills needed to land lucrative jobs and you could be next!

You will receive Apache Ambari certification in the form of a course completion certificate.

Towards the end of the course, all participants will be required to work on a project to get hands on familiarity with the concepts learnt. You will work on real time Hadoop applications with Ambari, install Ambari Wizard, deploy Ambari web app and manage and monitor the Hadoop clusters with support from your mentors. This project, which can also be a live industry project, will be reviewed by our instructors and industry experts. On successful completion, you will be awarded a certification.

Classes are held on weekdays and weekends. You can check available schedules and choose the batch timings which are convenient for you.

You may be required to put in 10 to 12 hours of effort every week, including the classroom sessions/live class, self study and assignments.

We offer classes in classroom and online format. While classroom sessions are held in specific venues in your city, for online sessions all you need is a Windows computer with good internet connection and you can access the class anywhere, at anytime. A headset with microphone is also recommended.

You may also attend these classes from your smart phone or tablet.

Don’t worry, you can always access your class recording or opt to attend the missed session again in any other live batch.

This course is apt for:

  • Hadoop administrators, DevOps professionals
  • Database, mainframe & Hadoop testing professionals

One must have:

  • Operating system such as Mac OS X, Windows or Linux (Mac needed to package iOS apps)
  • 4 GB RAM
  • Dual Core CPU

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