';
Cloudera

Administrator Training for Apache Hadoop

Introduction

Take your knowledge to the next level with Cloudera’s Apache Hadoop Training and Certification Cloudera University’s four-day administrator training course for Apache Hadoop provides participants with a comprehensive understanding of all the steps necessary to operate and maintain a Hadoop cluster using Cloudera Manager. From installation and configuration through load balancing and tuning, Cloudera’s training course is the best preparation for the real-world challenges faced by Hadoop administrators.

Hands-On Hadoop

Through instructor-led discussion and interactive, hands-on exercises, participants will navigate the Hadoop ecosystem, learning topics such as:

The internals of YARN, MapReduce, and HDFS
Determining the correct hardware and infrastructure for your cluster
Proper cluster configuration and deployment to integrate with the data center
How to load data into the cluster from dynamically-generated files using Flume and from RDBMS using Sqoop
Configuring the FairScheduler to provide service-level agreements for multiple users of a cluster
Best practices for preparing and maintaining Apache Hadoop in production
Troubleshooting, diagnosing, tuning, and solving Hadoop issues

Audience & Prerequisites

This course is best suited to systems administrators and IT managers who have basic Linux experience. Prior knowledge of Apache Hadoop is not required.

Course
Contents

  • The Case for Apache Hadoop
    • Why Hadoop?
    • Fundamental Concepts
    • Core Hadoop Components
  • Hadoop Cluster Installation
    • Rationale for a Cluster Management Solution
    • Cloudera Manager Features
    • Cloudera Manager Installation
    • Hadoop (CDH) Installation
  • The Hadoop Distributed File System (HDFS)
    • HDFS Features
    • Writing and Reading Files
    • NameNode Memory Considerations
    • Overview of HDFS Security
    • Web UIs for HDFS
    • Using the Hadoop File Shell
  • MapReduce and Spark on YARN
    • The Role of Computational Frameworks
    • YARN: The Cluster Resource Manager
    • MapReduce Concepts
    • Apache Spark Concepts
    • Running Computational Frameworks on YARN
    • Exploring YARN Applications Through the Web UIs, and the Shell
    • YARN Application Logs

 

  • Hadoop Configuration and Daemon Logs
    • Cloudera Manager Constructs for Managing Configurations
    • Locating Configurations and Applying Configuration Changes
    • Managing Role Instances and Adding Services
    • Configuring the HDFS Service
    • Configuring Hadoop Daemon Logs
    • Configuring the YARN Service

 

  • Getting Data Into HDFS
    • Ingesting Data From External Sources With Flume
    • Ingesting Data From Relational Databases With Sqoop
    • REST Interfaces
    • Best Practices for Importing Data
  • Planning Your Hadoop Cluster
    • General Planning Considerations
    • Choosing the Right Hardware
    • Virtualization Options*
    • Network Considerations
    • Configuring Nodes

 

  • Installing and Configuring Hive, Impala, and Pig
    • Hive
    • Impala
    • Pig
  • Hadoop Clients Including Hue
    • What Are Hadoop Clients?
    • Installing and Configuring Hadoop Clients
    • Installing and Configuring Hue
    • Hue Authentication and Authorization
  • Advanced Cluster Configuration
    • Advanced Configuration Parameters
    • Configuring Hadoop Ports
    • Configuring HDFS for Rack Awareness
    • Configuring HDFS High Availability
  • Hadoop Security
    • Why Hadoop Security Is Important
    • Hadoop’s Security System Concepts
    • What Kerberos Is and how it Works
    • Securing a Hadoop Cluster With Kerberos
    • Other Security Concepts
  • Managing Resources
    • Configuring cgroups with Static Service Pools
    • The Fair Scheduler
    • Configuring Dynamic Resource Pools
    • YARN Memory and CPU Settings
    • Impala Query Scheduling
  • Cluster Maintenance
    • Checking HDFS Status
    • Copying Data Between Clusters
    • Adding and Removing Cluster Nodes
    • Rebalancing the Cluster
    • Directory Snapshots
    • Cluster Upgrading
  • Cluster Monitoring and Troubleshooting
    • Cloudera Manager Monitoring Features
    • Monitoring Hadoop Clusters
    • Troubleshooting Hadoop Clusters
    • Common Misconfigurations
  • Conclusion
DateLink
11/03/2019
4 days		Buy Tickets
27/05/2019
4 days		Buy Tickets
07/10/2019
4 days		Buy Tickets
02/12/2019
4 days		Buy Tickets
Marionete