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Administering Data Services on premises

Cloudera's four-day administrator training course for Administering Data Services on premises provides participants with a comprehensive understanding of all the steps necessary to operate and maintain on-premises clusters using Cloudera Manager.

From installation and configuration through load balancing and tuning, this Cloudera training course is the best preparation for the real-world challenges faced by administrators who run Administering Data Services on premises.

    Note: Cloudera's four-day administrator training course for Administering Data Services on premises provides participants with a comprehensive understanding of all the steps necessary to operate and maintain on-premises clusters using Cloudera Manager.

    1:1 Coaching

    24*7 Support

    Cloud Labs

    High Success Rate

    Globally Renowned Trainer

    Real-time code analysis and feedback

    Course Description

    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, lowcode 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.

    Learning Objectives

    Through instructor-led discussion and interactive, hands-on exercises, you will learn how to:

    • Architecture for Cloudera Data Services
    • Docker Images and Containers
    • Docker Private Registry
    • Setup and install of Embedded Containerized Services
    • Configure Management Console and Environments
    • Theory of Kubernetes
    • Install, Configure, and Administer Cloudera Data Warehouse
    • Install, Configure, and Administer Cloudera Data Engineering
    • Install, Configure, and Administer Cloudera AI

    Certification Curriculum

    Module 1
    Big Data to Big Compute
    • The importance of microservices
    • Overview of containerized applications
    • Design Principles for Cloudera Data Services
    Module 2
    Docker Images and Containers
    • Docker CLI for images and containers
    • Building a containerized application
    Module 3
    Architecture for Cloudera Platform
    • Architecture for Data Platform, Data Lake, and Data Services
    • Architecture for Embedded Container Service
    Module 4
    Docker Private Registry
    • Build a Docker private registry
    • Load Cloudera image packages
    Module 5
    Clusters for Embedded Containerized Services
    • Network requirements
    • Hardware requirements
    • Cluster recommendations
    Module 6
    Shared Data Experience
    • The Importance of Ranger, Atlas, and Hive Metastore
    • Create Ranger policies on Hive databases in support of Cloudera Data Warehouse
    Module 7
    Set Up Embedded Container Services
    • Managing an air gapped repo
    • Securing a Metastore database
    • Creating wildcard DNS and wildcard certificates
    Module 8
    Install Embedded Containerized Services
    • Install Embedded Containerized Services
    • Manage ECS Docker registry
    Module 9
    Setup Management Console
    • Configure secure LDAP
    • Configure an administrator
    Module 10
    Setup Environments
    • Add users and groups
    • Create environments
    • Assign users to environments
    Module 12
    Theory for Kubernetes
    • Theory of Kubernetes clusters
    • Theory of Kubernetes namespaces
    • Theory of Kubernetes deployments
    • Theory of Embedded Containerized Services
    Module 13
    Manage Kubernetes
    • Use Kubernetes web UI
    • Use kubectl CLI
    • Use K9 terminal interface
    Module 14
    Manage Storage for ECS
    • Architecture for Storage
    • Architecture for Longhorn
    Module 15
    Run Cloudera Data Warehouse
    • Create virtual warehouses for Hive and Impala
    • Administrator virtual warehouses
    Module 16
    Run Cloudera Data Engineering
    • Setup principals and wildcard certificates
    • Create virtual clusters for Spark
    • Administrator virtual clusters
    Module 17
    Run Cloudera Machine Learning
    • Create virtual clusters for Spark
    • Administrator virtual clusters
    • Administrator workspaces
    Module 18
    Administration for Embedded Containerized Services
    • Stop and start Cloudera clusters
    • Uninstall ECS

    Prerequisites

    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

    Download Brochure

    We offer Administrator Training: Administering Data Services on premises Training in Singapore aimed at beginner Administering Data Services that can lead to Administrator Training Certification. Download the brochure and check the different Focus Areas covered within these 4 days of training.

    Certification Assessment

    When you complete the program, you’ll earn a Certificate to share with your professional network as well as unlock access to career support resources to help you kickstart your new career. Many Professional Certificates have hiring partners that recognize the Professional Certificate credential and others can help prepare you for a certification exam. You can find more information on individual Professional Certificate pages where it applies.

    • High Success rate
    • Join Our Dynamic Community
    • Training from Recognized Trainer
    • Post-workshop support by the Coaches

    Testimonials

    Our clients praise us for our great results, personable service, expert knowledge, and on-time delivery. Here are what just a few of them had to say:

    Training FAQ's

    Is this training conducted as an online/ virtual course?

    As a response to the COVID-19, we have moved our classes online. Our Live Virtual format delivers the same benefits as our face-to-face training: expert instruction, hands-on labs and exercises, peer-to-peer collaboration, and high-quality instructional material.

    If I cancel the enrollment, will I get a refund?

    Cancellation requests received within 24 hours of registration would be offered a full refund (minus payment gateway charges), please reach out to our support team through drop a refund request to enquiry@agilitics.sg. Visit our page for more details about Cancellation & Refund Policy.

    What Payment Options Are Available?

    The process of enrolling for this classroom training is simple. The payment can be made through different options by using a debit/credit card which includes MasterCard, Visa Card, American Express or through PayPal. Acknowledgment will be issued automatically via email to the candidates once payment is done.

    What are the modes of payment available for payment of accreditation fees?

    Payment can be made via credit card, debit card, UPI, and internet banking.

    Have more doubts?

    Please send in an email to enquiry@agilitics.sg, and we will answer any queries you may have!

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