HDP Operations: HDP Administration I

Live Online & Classroom Certification Training

Master your skills on Hortonworks Data Platform. Learn how to manage Hortonworks Data Platform (HDP) 2.3 with Ambari. Gain expertise in installation, configuration, maintenance, security and system performance of HDP.

(4.7) 249 Learners
Instructed by SPRINGPEOPLE
INDIA

    No Public/Open-house class on the topic scheduled at the moment!

Course Description

Overview

Gain end to end skills to manage Hortonworks Data Platform. Understand HDFS storage and YARN resource management. Gain practical experience in YARN applications, managing cluster nodes and rack awareness as you learn with our certified experts. 

Practise on cloudlabs to configure NameNode HA using Ambari, perform an Interactive HDP Installation using Apache Ambari. Add, decommission and re-commission a worker node and use HDFS storage and protect Data Using HDFS Access Control Lists (ACLs).

Be industry ready to perform administration capacity planning work, cluster performance, support and augment production and development on Hortonworks Platform.

Objective

At the end of Hortonworks Administration I training, you will be able to :

  • Gain a working knowledge of the enterprise environment including Big Data, Hadoop and the Hortonworks Data Platform (HDP)
  • Install the Hortonworks Data Platform
  • Manage Hadoop Services, Ambari Users and Groups
  • Manage and work on the HDFS Storage
  • Configure HDFS Storage,  HDFS Transparent Data Encryption, YARN Resource Manager
  • Submit YARN Jobs
  • Configure the YARN Capacity Scheduler
  • Modify Cluster Nodes
  • Configure HDFS and YARN Rack Awareness, YARN High Availability
  • Monitor and protect a Cluster with Backups

Duration:

  • Classroom: 4 Days 
  • Live Online: 24 Hours

Suggested Audience

  • IT administrators and operators responsible for installing
  • configuring and supporting an HDP 2.3 deployment in a Linux environment using Ambari

Prerequisites

  • Familiar with Hadoop and Linux environments.

Course Curriculum

Expand All
  • Describe Hadoop
  • Summarize the Purpose of the Hortonworks Data Platform Software Frameworks
  • List Hadoop Cluster Management Choices
  • Describe Apache Ambari
  • Describe the Differences Between Hadoop Users, Hadoop Service Owners and Ambari Users
  • Manager Users, Groups and Permissions
  • Identify Hadoop Configuration Files
  • Summarize Operations of the Web UI Tool
  • Manage Hadoop Service Configuration Properties Using the Ambari Web UI
  • Manage Client Configuration Files Using the Command-line Interface
  • Describe the Hadoop Distributed File System (HDFS)
  • Perform HDFS Shell Operations
  • Use Ambari Files View
  • Use WebHDFS
  • Protect Data Using HDFS Access Control Lists (ACLs)
  • Manage Ambari Users and Groups (Lab)
  • Managing Hadoop Services (Lab)
  • Using HDFS Storage (Lab)
  • Using WebHDFS (Lab)
  • Using HDFS Access Control Lists (Lab)
  • Describe HDFS Architecture and Operation
  • Manage HDFS using Ambari Web, NameNode and DataNode UIs
  • Manage HDFS using Command-line Tools
  • Enable and Manage HDFS quotas
  • Describe YARN Resource Management
  • Summarize YARN Architecture and Operation
  • Identify and use YARN Management Options
  • Summarize YARN Response to Component Failure
  • Managing HDFS Storage (Lab)
  • Managing HDFS Quotas (Lab)
  • Configure and Manage YARN (Lab)
  • Non-Ambari YARN Management (Lab)
  • Understand the Basics of Running Simple YARN Applications
  • Identify Reason to Add, Replace and Delete Worker Nodes
  • Configure and Run the HDFS Balancer
  • Decommission and Re-commission a Worker Node
  • Move a Master Component
  • Summarize the Purpose and Operations of the YARN Capacity Scheduler
  • Configure and Manager YARN Queues
  • Control Access to YARN Queues
  • Summarize the Purpose and Benefits of Rack Awareness
  • Configure Rack Awareness
  • Run Sample YARN Applications (Lab)
  • Add, Decommission and Re-commission a Worker Node (Lab)
  • Configure Users and Groups (Lab)
  • Configure YARN Resources Queues (Lab)
  • User Group and Resource Management (Lab)
  • Configuring Rack Awareness (Lab)
  • Summarize the Purpose of NameNode HA
  • Configure NameNode HA using Ambari
  • Summarize the Purpose of Resource Management HA
  • Configure ResourceManager HA using Ambari
  • Summarize the Purpose and Operation of Ambari Metrics
  • Describe the Features and Benefits of the Ambari Dashboard
  • Summarize the Purpose and Operation of Ambari Alerts
  • Configure Ambari Alerts
  • Summarize Hadoop Backup Considerations
  • Enable and Manage HDFS Snapshots
  • Copy Data Using DistCp
  • Use Snapshots and DistCp Together
  • Identify Hadoop Cluster Deployment Options
  • Plan for Hadoop Cluster Deployment
  • Perform an Interactive HDP Installation using Apache Ambari
  • Install Ambar
  • Configuring NameNode HA (Lab)
  • Configuring ResourceManager HA (Lab)
  • Configuring Ambari Alerts (Lab)
  • Managing HDFS Snapshots (Lab)
  • Using DistCp (Lab)
  • Installing HDP (Lab)

Certification

SpringPeople works with top industry experts to identify the leading certification bodies on different technologies - which are well respected in the industry and globally accepted as clear evidence of a professional’s “proven” expertise in the technology. As such, these certification are a high value-add to the CVs and can give a massive boost to professionals in their career/professional growth.

Our certification courses are fully aligned to these high-profile certification exams; at the end of the course, participants will have detailed knowledge, be eligible and be fully ready take up these certification exams and pass with flying colours.

 

Resources

About the Instructor

Founded in 2009, SpringPeople is a global premier eLearning marketplace for Online Live, Instructor-led classes in the region. It is a certified training delivery partner of leading technology creators, namely Pivotal, Elastic, Lightbend, EMC, VMware, MuleSoft, RSA, and... Read More


Course Rating and Reviews

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SPRINGPEOPLE SpringPeople Trainer

Richa Sinha

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This class is intended for participants with some prior exposure to the technology and are now looking to build up their expertise on the topic.

On successful completion of the course, participants will be eligible to sit of the related certification exam (see course overview). All participants receive a course completion certificate, demonstrating their expertise on the subject.

Total duration of the online, live instructor led sessions. Sessions are typically delivered as short lectures (2-hrs weekdays/3-hrs weekends) and detailed hands-on guidance.

Expected offline lab work hours that participants will need to complete and submit to the trainer, during and after the instructor-led online sessions.

  1. We are happy to refund full fee paid - no questions asked - should you feel that the training is not up to your expectations.
  2. Our dedicated team of expert training enablement advisors are available on email, phone and chat to assist you with your queries.
  3. All courseware, including session recordings, will always be available to access to you for future reference and rework.

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