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To help illustrate the MapReduce programming model, consider the problem of counting the number of occurrences of each word in a large collection of documents. The user would write code like the ...

Google and its MapReduce framework may rule the roost when it comes to massive-scale data processing, but there’s still plenty of that goodness to go around. This article gets you started with Hadoop, ...

Most of the time, Map-Reduce job is created using a driver class that contains static main method. But such method is not suitable for changing specific configuration on the fly. i.e. changing number ...

Abstract: Summary form of only given: Apache Hadoop has become the platform of choice for developing large-scale data-intensive applications. In this tutorial, we will discuss design philosophy of ...

MapReduce was invented by Google in 2004, made into the Hadoop open source project by Yahoo! in 2007, and now is being used increasingly as a massively parallel data processing engine for Big Data.

This repository contains source code for the assignments of Udacity's Nanodegree course, Big Data Foundations Nanodegree, which was unveiled on 31st January, 2018. This is a complete nanodegree course ...

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