Implementing the functions map and reduce. This will be different for every task. We call this part the client. Implementing everything else – the partition into phases, distribution of work between ...

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, ...

I have used Cloudera for thid project. Cloudera is a company that provides Apache Hadoop.I was provided with a virtual machine (VM) that is hosted on the cluster. Part 1: Determining the number 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.

MapReduce is a leading programming model for big data analytics. It uses pure functional concepts that benefit the highest level of parallelism granularity. Programming in this model is in ...

Over the last couple of months, we were discussing Hadoop and its components. We also discussed the need for Hadoop and its Execution engine(Map Reduce programming Paradigm). In this article, let’s ...

Abstract: MapReduce is a very popular parallel programming model for processing large data sets. This paper discusses strategies in implementing a MapReduce runtime system using Message Passing ...