Developing a Basic MapReduce Hadoop Application

Apache Hadoop 2.9
  • 10 Videos | 1h 17m 19s
  • Includes Assessment
  • Earns a Badge
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In this Skillsoft Aspire course, discover how to use Hadoop's MapReduce; provision a Hadoop cluster on the cloud; and build an application with MapReduce to calculate word frequencies in a text document. To start, create a Hadoop cluster on the Google Cloud Platform using its Cloud Dataproc service; then work with the YARN Cluster Manager and HDFS (Hadoop Distributed File System) NameNode web applications that come packaged with Hadoop. Use Maven to create a new Java project for the MapReduce application, and develop a mapper for word frequency application. Create a Reducer for the application that will collect Mapper output and calculate word frequencies in input text files, and identify configurations of MapReduce applications in the Driver program and the project's pom.xml file. Next, build the MapReduce word frequency application with Maven to produce a jar file and prepare for execution from the master node of the Hadoop cluster. Finally, run the application and examine outputs generated to get word frequencies in the input text document. The exercise involves developing a basic MapReduce application.

WHAT YOU WILL LEARN

  • create and configure a Hadoop cluster on the Google Cloud Platform using its Cloud Dataproc service
    work with the YARN Cluster Manager and HDFS NameNode web applications that come packaged with Hadoop
    use Maven to create a new Java project for the MapReduce application
    develop a Mapper for the word frequency application that includes the logic to parse one line of the input file and produce a collection of keys and values as output
    create a Reducer for the application that will collect the Mapper output and calculate the word frequencies in the input text file
  • specify the configurations of the MapReduce applications in the Driver program and the project's pom.xml file
    build the MapReduce word frequency application using Maven to produce a jar file and then prepare for execution from the master node of the Hadoop cluster
    run the application and examine the outputs generated to get the word frequencies in the input text document
    idenfity the apps packaged with Hadoop and the purposes they serve and recall the classes/methods used in the Map and Reduce phases of a MapReduce application

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    2m 50s
    UP NEXT
  • Playable
    2. 
    Provisioning a Hadoop Cluster on the Cloud
    9m 13s
  • Locked
    3. 
    Browsing the Hadoop Web Applications
    7m 46s
  • Locked
    4. 
    Creating a MapReduce project
    6m 43s
  • Locked
    5. 
    Coding the Map Phase
    7m 19s
  • Locked
    6. 
    Coding the Reduce Phase
    6m 24s
  • Locked
    7. 
    Defining the Driver Program
    8m 33s
  • Locked
    8. 
    Building the Application
    8m 23s
  • Locked
    9. 
    Executing the MapReduce Application
    8m 56s
  • Locked
    10. 
    Exercise: Developing a Basic MapReduce Application
    7m 12s

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