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Controlling Hadoop Jobs using Oozie 

  • Offered byCognitive Class

Controlling Hadoop Jobs using Oozie
 at 
Cognitive Class 
Overview

Explore the usage of Oozie coordinator for scheduling workflows and learn how to control Hadoop jobs on your Big Data projects

Duration

6 hours

Mode of learning

Online

Schedule type

Self paced

Difficulty level

Beginner

Official Website

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Credential

Certificate

Controlling Hadoop Jobs using Oozie
 at 
Cognitive Class 
Highlights

  • Earn a certification after completion
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Controlling Hadoop Jobs using Oozie
 at 
Cognitive Class 
Course details

Who should do this course?
  • Professionals responsible for designing, developing, and maintaining data processing pipelines in a Hadoop ecosystem
What are the course deliverables?
  • Understand the fundamentals of Hadoop ecosystem and its role in big data processing.
  • Gain proficiency in installing and configuring Oozie workflow scheduler.
  • Learn to create and manage Oozie workflows for orchestrating Hadoop jobs.
  • Develop skills in defining actions, dependencies, and triggers within Oozie workflows
More about this course
  • The course aims to equip students with a comprehensive understanding of Oozie's capabilities in managing Hadoop jobs through workflows
  • This course emphasizes the core components, scheduling features, and XML-based coding techniques while introducing tools that simplify the workflow creation process
  • In this course students will understand the necessary components for coding a workflow in Oozie, including its core elements and optional features like case statements, forks, and joins

Controlling Hadoop Jobs using Oozie
 at 
Cognitive Class 
Curriculum

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

Faculty Icon

Controlling Hadoop Jobs using Oozie
 at 
Cognitive Class 
Faculty details

Glen R.J. Mules
Glen R.J. Mules is a Senior Instructor and Principal Consultant with IBM Information Management World-Wide Education and works from New Rochelle, NY. Glen joined IBM in 2001 as a result of IBM's acquisition of Informix Software. He has worked at IBM, and previously at Informix Software, as an instructor, a course developer, and in the enablement of instructors worldwide.

Controlling Hadoop Jobs using Oozie
 at 
Cognitive Class 
Entry Requirements

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Conditional OfferUp Arrow Icon
  • Not mentioned

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Controlling Hadoop Jobs using Oozie
 at 
Cognitive Class 

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