Getting Started with Apache Ambari
- Development
- Feb 12, 2025

Getting Started with Apache Ambari, available at Free, has an average rating of 4.3, with 13 lectures, based on 155 reviews, and has 4936 subscribers.
Free Enroll NowYou will learn about Ambari Architecture Ambari Internals and Workflow Top 5 Reasons to learn Apache Ambari Benefits of Apache Ambari Features of Apache Ambari Overview of Apache Ambari Goals of Apache Ambari History of Apache Ambari Facts about Big Data This course is ideal for individuals who are Students and Professionals who want to start their careers in Apache Ambari It is particularly useful for Students and Professionals who want to start their careers in Apache Ambari.
Enroll now: Getting Started with Apache Ambari
Summary
Title: Getting Started with Apache Ambari
Price: Free
Average Rating: 4.3
Number of Lectures: 13
Number of Published Lectures: 13
Number of Curriculum Items: 13
Number of Published Curriculum Objects: 13
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
Apache Ambari is an open source administration tool deployed on top of Hadoop cluster and responsible for keeping track of running applications and their status. Apache Ambari can be referred to as an open source web-based management tool that manages, monitors and provisions the health of Hadoop clusters.
It provides a highly interactive dashboard which allows the administrators to visualize the progress and status of every application running over the Hadoop cluster.
Its flexible and scalable user-interface allows a range of tools such as Pig, MapReduce, Hive, etc., to be installed on the cluster and administers their performances in a user-friendly fashion. Some of the key features of this technology can be highlighted as:
Instantaneous insight into the health of Hadoop cluster using pre-configured operational metrics
User-friendly configuration providing an easy step-by-step guide for installation
You can install Apache Ambari through the Hortonworks Data Platform
Dependencies and performances monitored by visualizing and analyzing jobs and tasks
Authentication, authorization and auditing by installing Kerberos-based Hadoop clusters
Flexible and adaptive technology fitting perfectly in the enterprise environment.
Course Curriculum
Chapter 1: Introduction
Lecture 1: 0.1 Big Data Overview
Lecture 2: 0.2 Facts about Big Data
Lecture 3: 0.3 Big Data Scenarios
Lecture 4: 1.1 Objectives of This Module
Lecture 5: 1.2 History of Apache Ambari
Lecture 6: 1.3 Goals of Apache Ambari
Lecture 7: 1.4 Overview of Apache Ambari
Lecture 8: 1.5 Features of Apache Ambari
Lecture 9: 1.6 Benefits of Apache Ambari
Lecture 10: 1.7 Ambari Architecture
Lecture 11: 1.8 Ambari Internals and Workflow
Lecture 12: 1.9 Prerequisites to run Ambari
Lecture 13: 1.10 Top 5 Reasons to learn Apache Ambari
Instructors

Techno Crats
A new Innovation Everyday
Rating Distribution
Frequently Asked Questions
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