DEV 300 - Build Hadoop MapReduce Applications

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About this Course

In this course you will learn how to write Hadoop Applications using MapReduce and YARN in Java. The course covers debugging, managing jobs, improving performance, working with custom data, managing workflows, and using other programming languages for MapReduce.

This is the first course in the MapReduce Series from MapR.

What’s Covered

Course Lessons Lab Activities
1: Introduction to Developing Hadoop Applications
Illustrate the MapReduce model conceptually
Brief history of MapReduce
Discuss how MapReduce works at a high level
Define how data flows in MapReduce
Run wordcount
Examine Job Metrics in JobHistoryServer
2: Job Execution Framework - MapReduce v1 & v2
Describe the MapReduce v1 job execution framework
Compare MapReduce v1 to MapReduce v2 (YARN)
Describe how jobs execute in YARN
Describe how to manage jobs in YARN
Run Distributed
ShellExamine Job Results
3: Write a MapReduce Program
Summary of the programming problem
Design and implement the Mapper class, Reducer class and driver
Build and execute the code then examine the output
Modify a MapReduce Program

Get Certified

This course is part of the MapReduce course series, which helps prepare you for the MapR Certified Hadoop Developer (MCHD).

##Prerequisites

  • Completion of the MapR Academy on-demand courses: ESS 100 - 102
  • Basic Hadoop knowledge
  • Beginner-to-intermediate fluency with Java in an IDE