MapReduce Tutorial

Introduction -

MapReduce is a parallel programming model for processing the huge amount of data. MapReduce is the data processing layer of Hadoop and is a software framework for easily writing applications that process vast amount of structured and unstructured data stored in the HDFS. MapReduce is a framework used to write applications to process massive amounts of data in parallel on large clusters of hardware. MapReduce making the structured data out of some unstructured data etc.

Audiences & Objective -

In this tutorial, all the topics are covered with in-depth information and can understandable by anyone. The tutorial is intended for the Hadoop developers who are having minimum Hadoop and java knowledge.

Prerequisites -

Readers who are having Hadoop and Java knowledge in addition to computation background can understand the concepts a bit easily. Reader without having Java knowledge may need to go through the topic more than once to understand clearly.

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