3 days.

• How the Hadoop Distributed File System and MapReduce work
• What hardware configurations are optimal for Hadoop clusters
• What network considerations to take into account when building out your cluster
• How to configure Hadoop's options for best cluster performance
• How to configure NameNode High Availability
• How to configure NameNode Federation
• How to configure the FairScheduler to provide service-level agreements for multiple users of a cluster
• How to install and implement Kerberos-based security for your cluster
• How to maintain and monitor your cluster
• How to load data into the cluster from dynamically-generated files using Flume and from relational database management systems using Sqoop
• What system administration issues exist with other Hadoop projects such as Hive, Pig and HBase

This course is appropriate for system administrators who will be setting up or maintaining a Hadoop cluster. Basic Linux system administration experience is a prerequisite for this training session. Prior knowledge of Hadoop is not required.

Hands-On Exercises

Throughout the course, hands-on labs help students build their knowledge and apply the concepts being discussed.

Certification Exam

Following successful completion of the training class, attendees will be given a voucher for one certification exam attempt. This voucher is non-transfearable and is given only to individuals who successfully complete the entire training class. Learn more about the CCAH certification exam.

• Introduction
• The Case for Apache Hadoop
• The Hadoop Distributed File System
• MapReduce
• An Overview of the Hadoop Ecosystem
• Planning Your Hadoop Cluster
• Hadoop Installation
• Advanced Configuration
• Hadoop Security
• Managing and Scheduling Jobs
• Cluster Maintenance
• Cluster Monitoring and Troubleshooting
• Populating HDFS from External Sources
• Installing and Managing Other Hadoop Projects
• Conclusion
• Appendix: Kerberos Configuration