Mastering Apache Ambari certification Training

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Mastering Apache Ambari course helps the candidate to gain acquaintance on the Ambari tools and architecture and helps them to implement the skill efficiently to deal with the issues related to data and analytics so that they would become a successful Hadoop Administrator. Focusing on the career objectives, the training helps the candidates to enter the field of Hadoop Administrator with a handsome salary package as well.

In this training the candidates would be able to learn about Ambari Web UI, creating a Hadoop cluster and manage its Users, taking  the administrative control of the cluster through and Groups and different Views.

Here are some of the highlights of the Mastering Apache Ambari course, after the training the candidate would:

  • Develop an understanding and would be able to identify different management tools
  • Describe the Ambari architecture along with its various components
  • Use the Ambari components efficiently to create the cluster, add nodes and remove nodes seamlessly
  • Describe both fundamentals as well as advanced features and functionalities of Ambari along with use cases
Target audience
  • The DevOps specialists or the administrators who wish to boost their careers to become the Hadoop Administrators
  • The subject matter experts, such as: DBAs, who are working in jobs around large clusters
  • The Testing specialists around Mainframe or Java
Prerequisites

The candidates willing to opt for Mastering Apache Ambari Certification Training should have prior knowledge of management tools architecture, general relational databases (Oracle), Hadoop, and Basic Unix.

Mastering Apache Ambari course helps the candidate to gain acquaintance on the Ambari tools and architecture and helps them to implement the skill efficiently to deal with the issues related to data and analytics so that they would become a successful Hadoop Administrator. Focusing on the career objectives, the training helps the candidates to enter the field of Hadoop Administrator with a handsome salary package as well.

In this training the candidates would be able to learn about Ambari Web UI, creating a Hadoop cluster and manage its Users, taking  the administrative control of the cluster through and Groups and different Views.

Here are some of the highlights of the Mastering Apache Ambari course, after the training the candidate would:

  • Develop an understanding and would be able to identify different management tools
  • Describe the Ambari architecture along with its various components
  • Use the Ambari components efficiently to create the cluster, add nodes and remove nodes seamlessly
  • Describe both fundamentals as well as advanced features and functionalities of Ambari along with use cases
Target audience
  • The DevOps specialists or the administrators who wish to boost their careers to become the Hadoop Administrators
  • The subject matter experts, such as: DBAs, who are working in jobs around large clusters
  • The Testing specialists around Mainframe or Java
Prerequisites

The candidates willing to opt for Mastering Apache Ambari Certification Training should have prior knowledge of management tools architecture, general relational databases (Oracle), Hadoop, and Basic Unix.

Mastering Apache Ambari certification Training Course Content

1. Getting started with Ambari

  • What is Ambari?
  • The Types of managing tools,
  • What are the Prerequisites and Working of managing tools (Ambari)

2. Ambari Architecture / Installations

  • Setting up Ambari and related tools
  • Tasks in Ambari, installation of Hadoop
  • Installation of different components of Hadoop and service management

3. Using Ambari Client/Server

  • Understanding of Ambari UI
  • Administering Ambari
  • Creating a cluster, managing users
  • Groups and views

4. Management with Ambari

  • Accessing Ambari Web
  • Service management
  • Hosts managements  
  • Stacks and versions management
  • Alerts and monitoring management

5. Ambari Advance topics and Security

  • TroubleShooting through Ambari
  • Reviewing logs and general Issues
  • Configuration of Security
  • Kerberos setup
  • Implementation of Ldap
  • Implement Security in Databases and Passwords
  • Performance optimization and Memory optimization

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