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.
Overview
Syllabus
After completing this course, you should be able to:
- Describe the MapReduce model v1
- List the limitations of Hadoop 1 and MapReduce 1
- Review the Java code required to handle the Mapper class, the Reducer class, and the program driver needed to access MapReduce
- Describe the YARN model
- Compare YARN / Hadoop 2 / MR2 vs Hadoop 1 / MR1
