Developing a Basic MapReduce Hadoop Application

Skillsoft issued completion badges are earned based on viewing the percentage required or receiving a passing score when assessment is required. 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.