Programming Tutorials

MapReduce – Partitioner, A partitioner works like a condition in processing an input dataset. The partition phase takes place after the Map phase and before the Reduce phase.…Read More

MapReduce – Combiners, A Combiner, also known as a semi-reducer, is an optional class that operates by accepting the inputs from the Map class and thereafter passing the output key-va…Read More

MapReduce – Hadoop Administration, This chapter explains Hadoop administration which includes both HDFS and MapReduce administration.…Read More

MapReduce – Installation, MapReduce works only on Linux flavored operating systems and it comes inbuilt with a Hadoop Framework. We need to perform the following steps in order to instal…Read More

MapReduce – API, In this chapter, we will take a close look at the classes and their methods that are involved in the operations of MapReduce programming. We will primarily keep…Read More

MapReduce – Hadoop Implementation, MapReduce is a framework that is used for writing applications to process huge volumes of data on large clusters of commodity hardware in a reliable manner. Thi…Read More

MapReduce – Algorithm, The MapReduce algorithm contains two important tasks, namely Map and Reduce.…Read More

MapReduce Tutorial, MapReduce is a programming paradigm that runs in the background of Hadoop to provide scalability and easy data-processing solutions. This tutorial explains the …Read More

MapReduce – Introduction, MapReduce is a programming model for writing applications that can process Big Data in parallel on multiple nodes. MapReduce provides analytical capabilities fo…Read More