Code
QZD10GRO
Duration
2 days
Price
600 €*
No opened sessions
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* the price doesn't contain VAT taxes

DescriptionWhat we offer

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.

 

ObjectivesWhat you learn

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

 

TopicsThe best for you

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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PrerequisitesWhat should you know

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

AudienceWho should attend

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