HDP Operations: Administration Foundations Training

The HDP Operations: Administration Foundation Training is recommended for system administrators who are responsible for installation, management and configuration of the Hortonworks Data Platform (HDP). The training also provides deep knowledge and hands-on training in utilizing Apache Ambari as the operational management platform for HDP.

Contact us to customize this class with your preferred dates, times and location.
You can call us on 1-800-961-0337 or Chat with our representative.

• Installing Hortonworks Data Platform (HDP).
• Working in HDP environment, Hadoop and Big data.
• Managing Groups/Ambari users along with other Hadoop services.
• Managing HDFS storage.
• Configuring HDFS Transparent Data Encryption, YARN Resource Manager and HDFS Storage.
• Configuring the YARN Modify Cluster Nodes & Capacity Scheduler.
• Configuring the YARN Rack Awareness, availability and HDFS.
• Protecting, backup and monitoring a Cluster.

This training is intended for IT administrators along with operators who wanted to enhance their skill in managing and installing depended hybrid data platform in Linux utilizing Ambari.

The recommended prerequisite for this course is experience and working in hybrid data platform. However, fundamental knowledge of Linux environment is also needed.

• 1. DAY 1
• Describe Apache Hadoop
• Summarize the Purpose of the Hortonworks Data Platform Software Frameworks
• List Hadoop Cluster Management Choices
• Describe Apache Ambari
• Identify Hadoop Cluster Deployment Options
• Plan for a Hadoop Cluster Deployment
• Perform an Interactive HDP Installation using Apache Ambari
• Install Apache Ambari
• Describe the Differences Between Hadoop Users, Hadoop Service Owners, and Apache Ambari Users
• Manage Users, Groups and Permissions
• Identify Hadoop Configuration Files
• Summarize Operations of the Web UI Tool
• Manage Hadoop Service Configuration Properties Using the Apache Ambari Web UI
• Describe the Hadoop Distributed File System (HDFS)
• Perform HDFS Shell Operations
• Use WebHDFS
• Protect Data Using HDFS Access Control Lists (ACLs)

LABS:

• Setting Up the Environment
• Installing HDP
• Managing Ambari Users and Groups
• Managing Hadoop Services
• Using HDFS Storage
• Using WebHDFS
• Using HDFS Access Control Lists
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2. DAY 2
Describe HDFS Architecture and Operation
Manage HDFS using Ambari Web, NameNode and DataNode UIs
Manage HDFS using Command-line Tools
Summarize the Purpose and Benefits of Rack Awareness
Configure Rack Awareness
Summarize Hadoop Backup Considerations
Enable and Manage HDFS Snapshots
Copy Data Using DistCP
Use Snapshots and DistCP Together
Summarize the Purpose and Operation of HDFS Centralized Caching
Configure HDFS Centralized Cache
Define and Manage Cache Pools and Cache Directives
Identify HDFS NFS Gateway Use Cases
Recall HDFS NFS Gateway Architecture and Operation
Install and Configure an HDFS NFS Gateway
Configure an HDFS NFS Gateway Client
LABS:
Managing HDFS Storage
Managing HDFS Quotas
Configuring Rack Awareness
Managing HDFS Snapshots
Using DistCP
Configuring HDFS Storage Policies
Configuring HDFS Centralized Cache
Configuring an NFS Gateway
3. DAY 3
Describe YARN Resource Management
Summarize YARN Architecture and Operation
Identify and Use YARN Management Options
Summarize YARN Response to Component Failure
Understand the Basics of Running Simple YARN Applications
Summarize the Purpose and Operation of the YARN Capacity Scheduler
Configure and Manage YARN Queues
Control Access to YARN Queues
Summarize the Purpose and Operation of YARN Node Labels
Describe the Process used to Create Node Labels
Describe the Process Used to Add, Modify and Remove Node Labels
Configure Queues to Access Node Label Resources
Run Test Jobs to Confirm Node Label Behavior
LABS:
Managing YARN Using Ambari
Managing YARN Using CLI
Running Sample YARN Applications
Setting Up for Capacity Scheduler
Managing YARN Containers and Queues
Managing YARN ACLs and User Limits
Working with YARN Node Labels
4. DAY 4
Summarize the Purpose of NameNode HA
Configure NameNode HA Using Ambari
Summarize the Purpose of ResourceManager HA
Configure ResourceManager HA using Apache Ambari
Identify Reasons to Add, Replace and Delete Worker Nodes
Demonstrate How to Add a Worker Node
Configure and Run the HDFS Balancer
Decommission and Re-commission a Worker Node
Describe the Process of Moving a Master Component
Summarize the Purpose and Operation of Apache Ambari Metrics
Describe the Features and Benefits of the Apache Ambari Dashboard
Summarize the Purpose and Benefits of Apache Ambari Blueprints
Recall the Process Used to Deploy a Cluster Using Ambari Blueprints
Recall the Definition of an HDP Stack and Interpret its Version Number
View the Current Stack and Identify Compatible Apache Ambari Software Versions
Recall the Types of Methods and Upgrades Available in HDP
Describe the Upgrade Process, Restrictions and Pre-upgrade Checklist
Perform an Upgrade Using the Apache Ambari Web UI
LABS:
Configuring NameNode HA
Configuring Resource Manager HA
Adding, Decommissioning and Re-commissioning a Worker Node
Configuring Ambari Alerts
Deploying an HDP Cluster Using Ambari Blueprints
Performing an HDP Upgrade – Express