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Cloudera Apache Hadoop Administration

Overview

This training programme is designed for system administrators and others responsible for managing Apache Hadoop clusters in production or development environments using Cloudera Manager. Starting from the very basic, this advanced course on Apache Hadoop Administration teaches you the functions and major goals of HDFS, explains how YARN works, and then covers Hadoop cluster planning, installation and administration.

This course will help you operate and maintain a Hadoop cluster using Cloudera Manager. After completing the Hadoop admin training, you will be able to navigate the real-world challenges faced by Hadoop administrators such as query scheduling, rebalancing the cluster, configuring daemon logs, troubleshooting Hadoop clusters, etc.

Course Prerequisites

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

Course Content / Exam(s)

Schedule for Cloudera Apache Hadoop Administration Training & Certification Courses

Course# Course Name Exam# Duration (days)
20740B Cloudera Apache Hadoop Administration Training & Certification Courses 70-740 5

Some of the benefits of Hadoop admin training are as follows

After Successful completion this course, you will be able to:-

  • It can help you dive deep into the world of big data and help understand its 3Vs of Volume, Velocity, and Veracity
  • Participants can effectively understand the need for cluster management solutions and how it can be of help in setting up and monitoring Hadoop clusters
  • Determining the correct hardware and infrastructure for your cluster
  • Cloudera Manager features that make managing your clusters easier, such as aggregated logging, configuration management, resource management, reports, alerts, and service management
  • Get a firm grasp on the fundamentals of Spark, HDFS, MapReduce, and YARN
  • Help you in understanding the infrastructure and hardware requirement for your cluster
  • Make you better equipped to handle any security concerns around data and cluster
  • Troubleshooting, diagnosing, tuning, and solving Hadoop issues

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