Cloudera

CA-CATAH

Administrator Training for Apache Hadoop

Price:
United Arab Emirates:
USD 3,195.00 excl. VAT

Duration: 4 Days

Who Should Attend

  • This course is best suited to systems administrators and IT managers who have basic Linux experience.
Dates
An individual course planning is possible for this kind of course. If you would like to know more about this course please either call us on +971 4 42 89 440 or send an email to training@flane.com.
Prerequisites

Prior knowledge of Apache Hadoop is not required.

Associated Certification(s):

Upon completion of the course, attendees are encouraged to continue their study and register for the CCA Administrator exam. Certification is a great differentiator. It helps you as a leader in the field, providing employees and customers with tangible evidence of your skills and expertise

Course Objectives

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:

  • Cloudera Manager features that make managing your cluster easier, such as aggregated logging, configuration management, resource management, reports, alerts, and service management 
  • The internals of YARN, MapReduce, Spark 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 the Apache Hadoop in production 
  • Troubleshooting, diagnosing, tuning, and solving Hadoop issues
Course Outline
  • Introduction
  • The Case for Apache Hadoop 
  • Hadoop Cluster Installation 
  • The Hadoop Distributed File System (HDFS)
  • MapReduce and Spark on YARN
  • Hadoop Configuration and Daemon Logs 
  • Getting Data into HDFS
  • Planning Your Hadoop Cluster 
  • Installing and Configuring Hive, Impala, and Pig 
  • Hadoop Clients including Hue 
  • Advanced Cluster Configuration 
  • Hadoop Security 
  • Managing resources 
  • Cluster maintenance 
  • Cluster Monitoring and Troubleshooting
Further information

If you would like to know more about this course please contact us