HDP Operations: Administration FoundationsNewly Released

HDP Operations: Administration Foundations Course Description

Duration: 4.00 days (32 hours)

This course is intended for systems administrators who will be responsible for the design, installation, configuration, and management of the Hortonworks Data Platform (HDP). The course provides in-depth knowledge and experience in using Apache Ambari as the operational management platform for HDP. This course presumes no prior knowledge or experience with Hadoop.

Next Class Dates

Feb 26, 2018 – Mar 1, 2018
8:00 AM – 4:00 PM MT
519 8th Avenue, 2nd Floor, New York, NY 10018
New York, NY 10018
Mar 26, 2018 – Mar 29, 2018
8:00 AM – 4:00 PM MT
519 8th Avenue, 2nd Floor, New York, NY 10018
New York, NY 10018

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Contact us to customize this class with your own dates, times and location. You can also call 1-888-563-8266 or chat live with a Learning Consultant.

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Intended Audience for this HDP Operations: Administration Foundations Course

  • » Linux administrators and system operators responsible for installing, configuring and managing an HDP cluster.

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Course Prerequisites for HDP Operations: Administration Foundations

  • » Students must have experience working in a Linux environment with standard Linux system commands. Students should be able to read and execute basic Linux shell scripts
  • » Basic knowledge of SQL statements is recommended, but not a requirement.

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HDP Operations: Administration Foundations Course Objectives

  • » Introduction to Big Data, Hadoop and the Hortonworks Data Platform
  • » Managing HDFS Storage, Rack Awareness, HDFS Snapshots and HDFS Centralized Cache
  • » Introduction to YARN
  • » High Availability with HDP, Deploying HDP with Blueprints, and the HDP Upgrade Process

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HDP Operations: Administration Foundations Course Outline

      1. Module: 1
        1. Describe Apache Hadoop
        2. Summarize the Purpose of the Hortonworks Data Platform Software Frameworks
        3. List Hadoop Cluster Management Choices
        4. Describe Apache Ambari
        5. Identify Hadoop Cluster Deployment Options
        6. Plan for a Hadoop Cluster Deployment
        7. Perform an Interactive HDP Installation using Apache Ambari
        8. Install Apache Ambari
        9. Describe the Differences Between Hadoop Users, Hadoop Service Owners, and Apache Ambari Users
        10. Manage Users, Groups and Permissions
        11. Identify Hadoop Configuration Files
        12. Summarize Operations of the Web UI Tool
        13. Manage Hadoop Service Configuration Properties Using the Apache Ambari Web UI
        14. Describe the Hadoop Distributed File System (HDFS)
        15. Perform HDFS Shell Operations
        16. Use WebHDFS
        17. Protect Data Using HDFS Access Control Lists (ACLs)
      2. LABS
        1. Setting Up the Environment
        2. Installing HDP
        3. Managing Ambari Users and Groups
        4. Managing Hadoop Services
        5. Using HDFS Storage
        6. Using WebHDFS
        7. Using HDFS Access Control Lists
      3. Module: 2
        1. Describe HDFS Architecture and Operation
        2. Manage HDFS using Ambari Web, NameNode and DataNode UIs
        3. Manage HDFS using Command-line Tools
        4. Summarize the Purpose and Benefits of Rack Awareness
        5. Configure Rack Awareness
        6. Summarize Hadoop Backup Considerations
        7. Enable and Manage HDFS Snapshots
        8. Copy Data Using DistCP
        9. Use Snapshots and DistCP Together
        10. Identify the Purpose and Operation of Heterogeneous HDFS Storage
        11. Summarize the Purpose and Operation of HDFS Centralized Caching
        12. Configure HDFS Centralized Cache
        13. Define and Manage Cache Pools and Cache Directives
        14. Identify HDFS NFS Gateway Use Cases
        15. Recall HDFS NFS Gateway Architecture and Operation
        16. Install and Configure an HDFS NFS Gateway
        17. Configure an HDFS NFS Gateway Client
      4. LABS
        1. Managing HDFS Storage
        2. Managing HDFS Quotas
        3. Configuring Rack Awareness
        4. Managing HDFS Snapshots
        5. Using DistCP
        6. Configuring HDFS Storage Policies
        7. Configuring HDFS Centralized Cache
        8. Configuring an NFS Gateway
      5. Module: 3
        1. Describe YARN Resource Management
        2. Summarize YARN Architecture and Operation
        3. Identify and Use YARN Management Options
        4. Summarize YARN Response to Component Failure
        5. Understand the Basics of Running Simple YARN Applications
        6. Summarize the Purpose and Operation of the YARN Capacity Scheduler
        7. Configure and Manage YARN Queues
        8. Control Access to YARN Queues
        9. Summarize the Purpose and Operation of YARN Node Labels
        10. Describe the Process used to Create Node Labels
        11. Describe the Process Used to Add, Modify and Remove Node Labels
        12. Configure Queues to Access Node Label Resources
        13. Run Test Jobs to Confirm Node Label Behavior
      6. LABS
        1. Managing YARN Using Ambari
        2. Managing YARN Using CLI
        3. Running Sample YARN Applications
        4. Setting Up for Capacity Scheduler
        5. Managing YARN Containers and Queues
        6. Managing YARN ACLs and User Limits
        7. Working with YARN Node Labels
      7. Module: 4
        1. Summarize the Purpose of NameNode HA
        2. Configure NameNode HA Using Ambari
        3. Summarize the Purpose of ResourceManager HA
        4. Configure ResourceManager HA using Apache Ambari
        5. Identify Reasons to Add, Replace and Delete Worker Nodes
        6. Demonstrate How to Add a Worker Node
        7. Configure and Run the HDFS Balancer
        8. Decommission and Re-commission a Worker Node
        9. Describe the Process of Moving a Master Component
        10. Summarize the Purpose and Operation of Apache Ambari Metrics
        11. Describe the Features and Benefits of the Apache Ambari Dashboard
        12. Summarize the Purpose and Benefits of Apache Ambari Blueprints
        13. Recall the Process Used to Deploy a Cluster Using Ambari Blueprints
        14. Recall the Definition of an HDP Stack and Interpret its Version Number
        15. View the Current Stack and Identify Compatible Apache Ambari Software Versions
        16. Recall the Types of Methods and Upgrades Available in HDP
        17. Describe the Upgrade Process, Restrictions and Pre-upgrade Checklist
        18. Perform an Upgrade Using the Apache Ambari Web UI
      8. LABS
        1. Configuring NameNode HA
        2. Configuring Resource Manager HA
        3. Adding, Decommissioning and Re-commissioning a Worker Node
        4. Configuring Ambari Alerts
        5. Deploying an HDP Cluster Using Ambari Blueprints
        6. Performing an HDP Upgrade - Express

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Skills Assessment

We ensure your success by asking all students to take a FREE Skill Assessment test. These short, instructor-written tests are an objective measure of your current skills that help us determine whether or not you will be able to meet your goals by attending this course at your current skill level. If we determine that you need additional preparation or training in order to gain the most value from this course, we will recommend cost-effective solutions that you can use to get ready for the course.

Our required skill-assessments ensure that:

  1. All students in the class are at a comparable skill level, so the class can run smoothly without beginners slowing down the class for everyone else.
  2. NetCom students enjoy one of the industry's highest success rates, and pass rates when a certification exam is involved.
  3. We stay committed to providing you real value. Again, your success is paramount; we will register you only if you have the skills to succeed.
This assessment is for your benefit and best taken without any preparation or reference materials, so your skills can be objectively measured.

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