Cloudera

Prior knowledge of Apache Hadoop is not required.

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

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.

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

• 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