Cloudera Administrator Training for Apache Hadoop

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Cloudera Administrator Training for Apache Hadoop

HDP-102

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. 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.

Course Objectives

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.

CCAH Certification

Upon completion of the course, attendees receive a Cloudera Certified Administrator for Apache Hadoop (CCAH) practice test. Certification is a great differentiator; it helps establish you as a leader in the field, providing employers and customers with tangible evidence of your skills and expertise

Course Topics
  • Introduction
  • The Case for Apache Hadoop
  • HDFS
  • Getting Data into HDFS
  • YARN and MapReduce
  • Planning Your Hadoop Cluster
  • Hadoop Installation and Initial Configuration
  • Installing and Configuring Hive, Impala, and Pig
  • Hadoop Clients
  • Cloudera Manager
  • Advanced Cluster Configuration
  • Hadoop Security
  • Managing and Scheduling Jobs
  • Cluster Maintenance
  • Cluster Monitoring and Troubleshooting
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