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Apache Hadoop Fundamentals on Power Systems [ 2 DAYS]

Course Code : QZD10G

This course describes the concepts and implementation details to install, configure, and implement Hadoop on IBM Power Systems. The course covers planning for a Hadoop installation, customizing the environment, management, and using Hadoop. Hands-on exercises reinforce the lecture and give the students the experience of installing and configuring Hadoop on a Power Systems-based environment.

 

Anyone responsible for implementing and managing Hadoop on IBM Power Systems. The audience for this training includes the following:

• Hadoop administrators
• POWER technical support individuals
• POWER system administrators
• POWER system engineers
• POWER system architects

Anyone responsible for implementing and managing Hadoop on IBM Power Systems. The audience for this training includes the following:

• Hadoop administrators
• POWER technical support individuals
• POWER system administrators
• POWER system engineers
• POWER system architects

Students must already know the basics of configuring and managing a Virtual I/O server, virtual devices and use of the HMC to manage partitions. This prerequisite can be met by attending the following courses:
• (LX21G) - PowerLinux Administration (LX21G)

Additional course information and roadmaps can be found at:

www.ibm.com/training

After completing this course, you should be able to:

• Distinguish between Big Data and Data Analytics
• Summarize the architectural components, resources, terminology and capabilities of Hadoop
• Apply both planning and requirement processes for installation of Hadoop
• Carry out the steps to configure, startup and shutdown a Hadoop cluster with the appropriate web user interfaces and administration tasks
• Implement the proper administration commands, use of safe mode and steps to add and remove DataNodes from a Hadoop Cluster

 

Lecture:

• Unit 1 - Introduction to Data Analytics
• Unit 2 - Introduction to Hadoop
• Unit 3 - Hadoop planning and implementation
• Unit 4 - Hadoop configuration management
• Unit 5 - Hadoop administration


Labs:

• Exercise 1 - Introduction to the lab environment
• Exercise 2 - Hadoop planning and implementation
• Exercise 3 - Hadoop configuration management
• Exercise 4 - Hadoop administration


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