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Controlling Hadoop Jobs using Oozie – Big Data University

Big Data University
0-6 MonthOnline
BeginnerAny Time
OnlineBig Data
Online Self Paced463
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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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