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Course Outline
Introduction to Apache Ambari
- Overview of Apache Ambari and its architecture
- Core features and functionalities
- Understanding the role of Ambari in Hadoop ecosystem management
Setting up Apache Ambari
- Installing and configuring Ambari server and agents
- Setting up Hadoop clusters with Ambari
- Understanding service management in Ambari
Cluster Management with Ambari
- Adding and removing nodes from the cluster
- Monitoring Hadoop components
- Configuring and managing cluster services
- Working with Ambari Web UI and REST API
Advanced Features and Functionality
- Ambari Blueprints for cluster provisioning
- Customizing configurations for different environments
- Upgrading and maintaining clusters
Monitoring and Alerting
- Understanding Ambari metrics and alerts
- Using Ambari Metrics System (AMS)
- Setting up and managing custom alerts
Securing Hadoop Clusters with Ambari
- Implementing Kerberos authentication
- Managing user roles and permissions
- Integrating Ambari with LDAP/Active Directory
Optimizing and Tuning Hadoop Clusters
- Understanding cluster performance metrics
- Configuring resource allocation and scheduling
- Tuning Hadoop components for optimal performance
Hands-on Labs and Practical Implementation
- Live setup of a Hadoop cluster with Ambari
- Simulating node failures and recovery
- Configuring and testing custom alerts
- Performance tuning of a live Hadoop cluster
Summary and Next Steps
Requirements
- Linux experience
- Knowledge of database concepts and practices
- Knowledge of Hadoop infrastructure and practices
Audience
- DevOps
- System Administrators
- DBAs
- Hadoop testing professionals
21 Hours
