Deprecated: Return type of Ai1wm_Recursive_Directory_Iterator::hasChildren($allow_links = true) should either be compatible with RecursiveDirectoryIterator::hasChildren(bool $allowLinks = false): bool, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice in /home1/greatsyd/public_html/staging1/wp-content/plugins/all-in-one-wp-migration-unlimited-main--old/lib/vendor/servmask/iterator/class-ai1wm-recursive-directory-iterator.php on line 57

Deprecated: Return type of Ai1wm_Recursive_Directory_Iterator::rewind() should either be compatible with FilesystemIterator::rewind(): void, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice in /home1/greatsyd/public_html/staging1/wp-content/plugins/all-in-one-wp-migration-unlimited-main--old/lib/vendor/servmask/iterator/class-ai1wm-recursive-directory-iterator.php on line 35

Deprecated: Return type of Ai1wm_Recursive_Directory_Iterator::next() should either be compatible with DirectoryIterator::next(): void, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice in /home1/greatsyd/public_html/staging1/wp-content/plugins/all-in-one-wp-migration-unlimited-main--old/lib/vendor/servmask/iterator/class-ai1wm-recursive-directory-iterator.php on line 42

Deprecated: Return type of Ai1wm_Recursive_Extension_Filter::getChildren() should either be compatible with RecursiveFilterIterator::getChildren(): ?RecursiveFilterIterator, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice in /home1/greatsyd/public_html/staging1/wp-content/plugins/all-in-one-wp-migration-unlimited-main--old/lib/vendor/servmask/filter/class-ai1wm-recursive-extension-filter.php on line 47

Deprecated: Return type of Ai1wm_Recursive_Extension_Filter::accept() should either be compatible with FilterIterator::accept(): bool, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice in /home1/greatsyd/public_html/staging1/wp-content/plugins/all-in-one-wp-migration-unlimited-main--old/lib/vendor/servmask/filter/class-ai1wm-recursive-extension-filter.php on line 37

Deprecated: Return type of Ai1wm_Recursive_Exclude_Filter::getChildren() should either be compatible with RecursiveFilterIterator::getChildren(): ?RecursiveFilterIterator, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice in /home1/greatsyd/public_html/staging1/wp-content/plugins/all-in-one-wp-migration-unlimited-main--old/lib/vendor/servmask/filter/class-ai1wm-recursive-exclude-filter.php on line 41

Deprecated: Return type of Ai1wm_Recursive_Exclude_Filter::accept() should either be compatible with FilterIterator::accept(): bool, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice in /home1/greatsyd/public_html/staging1/wp-content/plugins/all-in-one-wp-migration-unlimited-main--old/lib/vendor/servmask/filter/class-ai1wm-recursive-exclude-filter.php on line 37

Deprecated: Return type of Ai1wm_Recursive_Newline_Filter::accept() should either be compatible with FilterIterator::accept(): bool, or the #[\ReturnTypeWillChange] attribute should be used to temporarily suppress the notice in /home1/greatsyd/public_html/staging1/wp-content/plugins/all-in-one-wp-migration-unlimited-main--old/lib/vendor/servmask/filter/class-ai1wm-recursive-newline-filter.php on line 28
Apache Ambari – Greater Insights

Apache Ambari

Course Overview

In our Apache Ambari training course, learn how to automate and integrate your organization’s Hadoop cluster by mastering Ambari’s core components – Stacks, Blueprints, and API. With a single point of entry into a Hadoop cluster, learn how to provision, manage, monitor, integrate, and automate anything in the Hadoop ecosystem for your enterprise.

With Cloudlabs, practice adding and removing hosts or services, starting, stopping, and restarting services with the click of a button or an API call. You will also gain hands-on experience using APIs to integrate Ambari with existing software systems from Microsoft, Teradata, OpenStack and many more.

In this Ambari training program, you learn how to use the web interface to manage everything in a Hadoop cluster – from monitoring metrics, resource usage by specific hosts to even deleting an entire cluster

At the end of the training, participants will be able to:

  1. Apply your extensive knowledge of Ambari architecture and business use cases to manage Hadoop clusters at your organization.
  2. Install & configure Ambari, Hadoop clusters and services
  3. Configure Ambari interfaces for monitoring metrics on services and hosts
  4. Effectively manage services, hosts, stacks, versions, alerts on Ambari
  5. Troubleshoot Ambari and associated Hadoop cluster
  6. Implement security features, optimize Ambari for performance
  7. Automate Hadoop cluster management and integrate other system softwares with it

Pre-requisite

Knowledge of Apache Hadoop eco system is required. Some knowledge of Hadoop system administration is good to have.

Duration

2 days

Course Outline

  1. What is Ambari?
  2. Types of managing tools
  3. Prerequisites and Working of managing tools (Ambari)
  1. Setting up Ambari and related tools
  2. Tasks in Ambari
  3. Installation of Hadoop
  4. Installation of different components of Hadoop
  5. Hadoop service management
  1. Understanding of Ambari UI
  2. Administering Ambari
  3. Creating a cluster
  4. Managing users, groups and views
  5. Understanding the concept of Ambari Server :
  6. Sending operations to clients to start/stop service
  7. Change service configuration
  8. Using Ambari Agent
  9. One per machine in cluster
  10. Administering the Hadoop cluster setup
  1. Accessing Ambari Web
  2. service management, hosts management’s
  3. stacks and versions management
  4. alerts and monitoring management
  5. Managing Hadoop clusters with Ambari
  6. Understanding Ambari Install Wizard
  7. Working with Ambari Web App
  8. Supporting Hadoop stacks
  9. Adding new components to current stack
  10. Host control management
  11. Preconfigured metrics and alerts for monitoring Hadoop cluste
  1. TroubleShooting through Ambari
  2. Reviewing logs and general Issues
  3. Configuration of Security, Kerberos setup
  4. Implementation of Ldap
  5. Implement Security on Databases and Passwords
  6. Performance optimization and Memory optimization
  7. Configuring to work with Hadoop and YARN

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