Controlling Hadoop Jobs using Oozie – Big Data University

DescriptionProgram StructureEligibilityToolsFacultyContact

This course gives an overview of Oozie and how it is able to control Hadoop jobs. It begins with looking at the components required to code a workflow as well as optional components such as case statements, forks, and joins. That is followed by using the Oozie coordinator in order to schedule a workflow. One of the things that the student will quickly notice is that workflows are coded using XML which tends to get verbose. The last lesson of this course shows a graphical workflow editor tool designed to simplify the work in generating a workflow.

Course Structure:

  • Introduction to Oozie Workflows
  • Oozie Coordinator
  • Workflow Editor

Fees:

Free

Duration:

4 hours

Part Time/Full Time:

Part Time

  • Basic knowledge of Hadoop
  • Basic knowledge of operating systems (UNIX/Linux)
  • Hadoop
  • Oozie
  • Glen Mules
  • Warren Pettit
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