In this page, we describes about audiences, objective, prerequisites and the topics that are covered as part of tutorial.
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.
In this tutorial, all the topics are covered with in-depth information and can understandable by anyone. Readers can be anyone who has a basic knowledge on Hadoop and java language.
The tutorial is intended for the Hadoop developers who are having minimum Hadoop and java knowledge.
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.