MapReduce

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Towards Data Science

Simplifying the MapReduce Framework

Introduction to MapReduce

Analytics Vidhya

MapReduce is a programming framework for distributed parallel processing of large jobs. It was first introduced by Google in 2004, and popularized by Hadoop. The primary motivation of MapReduce was…

A MapReduce overview

Towards Data Science

When I first started reading about MapReduce, nearly every tutorial intro’d with a Java or C++ prerequisite reminder. Yet there’s also the outdated (and increasingly sparse) mindset in the tech world…...

A Beginners Introduction into MapReduce

Towards Data Science

Many times, as Data Scientists, we have to deal with huge amount of data. In those cases, many approaches won’t work or won’t be feasible. A massive amount of data is good, it’s very good, and we…

Processing Data At Scale With MapReduce

Towards Data Science

In the current market landscape, organizations must engage in data-driven decision-making to maintain competitiveness and foster innovation. As a result, an immense amount of data is collected on a da...

MapReduce for Idiots

Pete Warden's blog

Photo by Stuart Pilbrow I'll admit it, I was intimidated by MapReduce. I'd tried to read explanations of it, but even the wonderful Joel Spolsky left me scratching my head. So I plowed ahead trying to...

MapReduce for Idiots: The Musical

Pete Warden's blog

MapReduce for Idiots I've just uploaded an audio slideshow of the talk I gave at Gnip last week, covering why MapReduce really isn't scary and why you should be looking into it for your problems. I'll...

Understanding MapReduce

Better Programming

MapReduce is a computing model for processing big data with a parallel, distributed algorithm on a cluster. It was invented by Google and has been largely used in the industry since 2004. Many…

Series on Distributed Computing 1: MapReduce

Towards Data Science

A simple explanation of how to run parallel workloads to process big data

MapReduce with Python

Python in Plain English

MapReduce with Python is a programming model. It allows big volumes of data to be processed and created by dividing work into independent tasks. It further enables performing the tasks in parallel…

Understanding MapReduce with the Help of Harry Potter

Towards Data Science

MapReduce is an algorithm that allows large data sets to be processed in parallel, i.e. on multiple computers simultaneously. This greatly accelerates queries for large data sets. MapReduce was…

MapReduce: Simplified Data Processing on Large Clusters

Level Up Coding

MapReduce is an interface that enables automatic parallelization and distribution of large-scale computation while abstracting over “the messy details of parallelization, fault-tolerance, data…