June 2019
Beginner to intermediate
360 pages
10h 55m
English
Content preview from Big Data Simplified
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68 | Big Data Simplied
4.1 INTRODUCTION
MapReduce is an algorithmic approach to deal with big data. It provides a way of taking large
amount of data, breaking it up into several smaller chunks of data and then processing each of
those chunks in parallel, and nally aggregating the outcome from each process to produce a
single unied outcome.
MapReduce is a two-stage process. The first step is called the ‘Map’ step and the second is
called the ‘Reduce’ step. The ‘Map’ step concerns itself with breaking up the data into chunks and
processing each of those chunks. The ‘Reduce’ step takes the output of the ‘Map’ step and aggre-
gates the outcomes ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.