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Lesson 1 - Introduction to Hadoop

Learning objectives

  • Understand what Hadoop is
  • Understand what Big Data is
  • Learn about other open source software related to Hadoop
  • Understand how Big Data solutions can work on the Cloud

Instructions

  • Review all the videos provided
  • Complete the lab

Videos


Hands-on lab - Creating your own Hadoop cluster

  • We will use IBM InfoSphere BigInsights (BigInsights) software to work with Hadoop.
  • You will need to have a free IBM ID in order to access the image.
  • BigInsights is available in different editions; this course uses the Quick Start Edition which is free, has no time usage limits and no data size usage limits.


Lesson 2 - Hadoop architecture

Learning objectives

  • Understand the main Hadoop components
  • Learn how HDFS works
  • List data access patterns for which HDFS is designed
  • Describe how data is stored in an HDFS cluster

Instructions

  • Review all the videos provided
  • Complete the lab

Videos


Hands-on lab - Hadoop Architecture


Lesson 3 - Hadoop Administration

Learning objectives

  • Add and remove nodes from a cluster
  • Verify the health of a clusterStart and stop a clusters components
  • Modify Hadoop configuration parameters
  • Setup a rack topology

Instructions

  • Review all the videos provided
  • Complete the lab

Videos


Hands-on lab - Hadoop Administration


Lesson 4 - Hadoop Components

Learning objectives

  • Describe the MapReduce philosophy
  • Explain how Pig, Hive, and Jaql can be used in a Hadoop environment
  • Describe how Flume and Sqoop can be used to move data into Hadoop
  • Describe how Oozie is used to schedule and control Hadoop job execution

Instructions

  • Review all the videos provided

Videos





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