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    Apache Hadoop Development

    Offline & Online Training

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    Apache Hadoop Administration

    Offline & Online Training

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    Apache Big Data

    With R and HBase and Hive

Administrator Training for Apache Hadoop

 

Overview:

This three-day hands-on training course is for system administrators and others responsible for managing Apache Hadoop clusters in production or development environments.

You Will Learn:

  • 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

Prerequisites:

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.

Outline:

  • 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


For Detailed Course Contents Click here

For Upcoming Batches Click here

For Online Training Click here

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