ADMIN-280: Administering Cloudera on cloud
Overview
This training provides a comprehensive understanding of the steps required to configure, operate, and maintain Cloudera on cloud instances. This four-day instructor-led course covers everything from setup to configuring various data services to executing workloads on AWS, Azure, and GCP using Cloudera Management Console. The course covers configuration options using the web interface, as well as automation scenarios using Ansible. On the optimization side, it covers load balancing and tuning Cloudera on cloud instances. This course equips participants to effectively address the real-world challenges faced by administrators running Cloudera on cloud.
What you will learn
Through instructor-led discussion and interactive, hands-on exercises, you will learn how to:
- Evaluate and select the appropriate deployment option
- Setup Cloudera using Cloudera Management Console
- Setup and configure various data services
- Configure and monitor instances using Cloudera Manager
- Optimize cluster performance and security
- Detect, troubleshoot, and repair problems with the cluster
- Auto scale Data Hub clusters and Data Services
What to expect
This course is best suited to cloud systems administrators and operators who have at least basic Linux and AWS/Azure/GCP experience. Prior knowledge of Cloudera is not required, but helpful.
Preparation
Students are highly recommended to go through the free OnDemand courses to make the best of the instructor-led classroom learning experience:
- AWS for Cloudera Cloud Fundamentals (FREE!)
- Quickstart: Azure for Cloudera (FREE!)
- Quickstart: AWS for Cloudera (FREE!)
Book the course
Course Details
Managing Data Hubs
- Best Practices on Data Hubs
- Sizing Data Hubs
- Cloudera Manager
- Data Hub Services
- Autoscaling/Data Hub Info
- Checking Cluster Health Status / Events and Alerts
- Host Maintenance
- Upgrading a Data Hub Cluster
- Monitoring / Monitoring Features
Data Services Overview
- Data Services Overview
- Data Services
- Planning Your Data Service Cluster
- Choosing the Right Hardware / Network Considerations
- Creating Data Services
- DataFlow
- Data Engineering
- Data Warehouse
- Operational Database
- Machine Learning
- Troubleshooting
DataFlow
- DataFlow Service Overview
- Data Ingest Overview
- Ingesting Data using File Transfer or REST Interfaces
- Ingesting Data Using NiFi
- Autoscaling
Monitoring and Management
- Monitoring and Management in Cloudera on cloud
- Data Lake Cluster Monitoring and Cloudera Auditing
- Getting Started with Monitoring in Cloudera
- Monitoring with Cloudera Manager: Health Tests and Dashboards
- Monitoring Clusters, Services, Hosts, Roles, and Activities
- Troubleshooting Cluster Configuration and Operation
Data Management
- SDX - Security and Governance
- Security Concepts
- Access Cloud Storage
- Data Lake Security: SDX
- Apache Ranger
- Cloudera Authorization / Authentication
- Data Governance
- Apache Atlas
- Data Catalog
Observability
- Overview
- Support
- Observability deployment architecture
- Monitoring capabilities
- Working with alerts, costs, and reports
Cloudera Data Engineering
- Data Engineering Service Overview
- Apache Spark/Flink/Kafka streams Overview
- Autoscaling
Cloudera Data Warehouse
- Data Warehouse Service Overview
- Adding and Managing a Database Catalog
- Adding and Tuning a Virtual Warehouse
- Querying a Data Warehouse
- Data Visualization
- Monitoring & Troubleshooting
Cloudera Operational Database
- Operational Database Service Overview
- Apache HBase/Search Overview
- Autoscaling
Cloudera AI
- Cloudera AI Service Overview
- Cloudera Engines
- Requirements for Cloudera AI Workspaces
- Provisioning a Cloudera AI Workspace
- Cloudera AI Auto-Scaling
- Monitoring