ADMIN-335: Administering Data Services on premises
About this training
This four-day course teaches the architecture, deployment, and configuration of Cloudera Data Services on Embedded Containerized Services (ECS). Cloudera Data Services provide a state-of-the-art, low- code platform that unifies the entire data lifecycle, reducing development costs and accelerating the development and deployment of use cases.
The course starts by covering best practices for managing Docker images and containers. Students will then build a Docker private registry. This Docker private registry will be used to deploy a Data Services cluster on ECS. Students will install, configure, and validate Cloudera Data Engineering, Cloudera Data Warehouse, and Cloudera Machine Learning. Through hands-on exercises, students will gain experience with Kubernetes, install a Private Cloud Embedded Container Service (ECS), and deploy Cloudera Data Services.
Additionally, the course covers networking and hardware requirements and explains how Kubernetes pods dynamically scale to support Cloudera Data Services.
Who should take this course?
This immersive course is designed for Cloudera Administrators transitioning to managing Cloudera Data Services on premises. Students should have at least 3 to 5 years of system administration experience. Students must have proficiency in the Linux Command Line Interface and knowledge of Identity Management, including Transport Layer Security and Kerberos. Familiarity with SQL select statements is recommended. Prior experience with Cloudera products is required.
Students need reliable internet access to connect to the Amazon Web Services environment used in this course.
Recommended prerequisite courses
- ADMIN-230: Administering Cloudera on premises
- ADMIN-332: Securing Cloudera on premises
Book the course
Course Details
Big Data to Big Compute
- The importance of microservices
- Overview of containerized applications
- Design Principles for Cloudera Data Services
Docker Images and Containers
- Docker CLI for images and containers
- Building a containerized application
Architecture for Cloudera Platform
- Architecture for Data Platform, Data Lake, and Data Services
- Architecture for Embedded Container Service
Docker Private Registry
- Build a Docker private registry
- Load Cloudera image packages
Clusters for Embedded Containerized Services
- Network requirements
- Hardware requirements
- Cluster recommendations
Shared Data Experience
- The Importance of Ranger, Atlas, and Hive Metastore
- Create Ranger policies on Hive databases in support of Cloudera Data Warehouse
Set Up Embedded Container Services
- Managing an air gapped repo
- Securing a Metastore database
- Creating wildcard DNS and wildcard certificates
Run Cloudera Data Warehouse
- Create virtual warehouses for Hive and Impala
- Administrator virtual warehouses
Run Cloudera Data Engineering
- Setup principals and wildcard certificates
- Create virtual clusters for Spark
- Administrator virtual clusters
Install Embedded Containerized Services
- Install Embedded Containerized Services
- Manage ECS Docker registry
Setup Management Console
- Configure secure LDAP
- Configure an administrator
Setup Environments
- Add users and groups
- Create environments
- Assign users to environments
Operate Management Console
- Manage alerts
- Create support bundles
Theory for Kubernetes
- Theory of Kubernetes clusters
- Theory of Kubernetes namespaces
- Theory of Kubernetes deployments
- Theory of Embedded Containerized Services
Manage Kubernetes
- Use Kubernetes web UI
- Use kubectl CLI
- Use K9 terminal interface
Manage Storage for ECS
- Architecture for Storage
- Architecture for Longhorn
Run Cloudera Machine Learning
- Create virtual clusters for Spark
- Administrator virtual clusters
- Administrator workspaces
Administration for Embedded Containerized Services
- Stop and start Cloudera clusters
- Uninstall ECS