The Edureka Ambari training is designed to provide the requisite knowledge and skills to become a successful Hadoop Administrator. The course starts with the fundamental concepts of Hadoop and management tools and includes advanced topics around tuning and tweaking of the Hadoop cluster.
Course Objectives
After the completion of the Ambari course at Edureka, you will be able to:
- Understand and identify different management tools
- Describe Ambari architecture and its various components
- Use Ambari components to build the cluster, add nodes and remove nodes seamlessly
- Describe the basic and advanced features and functionalities of Ambari along with use cases
Who should go for this course?
The course is designed for all those who want to learn Apache Ambari. It is suitable especially for:
- DevOps specialists or administrators who want to boost their careers and become Hadoop Administrators
- DBAs who are subject matter experts, working in jobs around large clusters
- Testing specialists around Mainframe or Java
Why learn Apache Ambari?
The Apache Ambari training equips you with in-demand skill around of Hadoop Administration and helps you grab high paying Hadoop Admin jobs. Which Case-Studies will be a part of the Course?
Towards the end of the course, participants will work on a live project using the Ambari wizards interface to perform implementation and designing of Big Data clusters.
Project Details:
Create a 3-Node Hadoop Cluster with these configurations using Ambari:
- Node 1/2: Ambari master/slaves
- Node 3: Ambari Agent/Masters
Perform the following activities in the Node Cluster using Ambari:
- Adding an additional node and removing one
- Removing some services
- Adding new services
What are the pre-requisites for this Course?
The pre-requisites for this course include knowledge on management tools architecture, general relational databases (Oracle), Hadoop, and Basic Unix.
Certification
At the end of your course, you will work on a real-time Project. You will receive a Problem Statement along with a dataset to work.
Once you are successfully through with the project (reviewed by an expert), you will be awarded a certificate with a performance-based grading.
If your project is not approved in 1st attempt, you can take additional assistance to understand the concepts better and reattempt the Project free of cost.
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