Controlling Hadoop Jobs using Oozie

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Oozie

Controlling Hadoop Jobs using Oozie

with Glen Mules, Warren Pettit

Audience:
Oozie beginners

Time to complete:
4 hours

Available in:
English

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.

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This course was tested and validated for v3 of the QSE VM.

Please download the v3 VM to complete the lab exercises.

https://www14.software.ibm.com/webapp/iwm/web/preLogin.do?source=swg-beta-iibob

Course Syllabus

  • Introduction to Oozie Workflows
  • Oozie Coordinator
  • Workflow Editor

All sections include hands-on lab exercises

General Information

  • This course is free.
  • It is self-paced.
  • It can be taken at any time.
  • It can be taken as many times as you wish.
  • Labs can be performed on the Cloud, or using a 64-bit system. If using a 64-bit system, you can install the required software (Linux-only), or use the supplied VMWare image. More details are provided in the course.
  • Students passing the course (by passing the final exam) will have immediate access to printing their online certificate of achievement. Your name in the certificate will appear exactly as entered in your profile in BigDataUniversity.com.
  • If you did not pass the course, you can take it again at any time.

Pre-requisites

  • None

Recommended skills prior to taking this course

Grading Scheme

  • The minimum passing mark for the course is 60%, where the final test is worth 100% of the course mark.
  • You have 3 attempts to take the test.