July 2017
Beginner to intermediate
715 pages
17h 3m
English
Content preview from Java: Data Science Made Easy
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Using Apache's Hadoop to perform map-reduce
We are going to show you a very simple example of a map-reduce application here. Before we can use Hadoop, we need to download and extract Hadoop application files. The latest versions can be found at http://hadoop.apache.org/releases.html. We are using version 2.7.3 for this demonstration.
You will need to set your JAVA_HOME environment variable. Additionally, Hadoop is intolerant of long file paths and spaces within paths, so make sure you extract Hadoop to the simplest directory structure possible.
We will be working with a sample text file containing information about books. Each line of our tab-delimited file has the book title, author, and page count:
Moby Dick Herman Melville 822Charlotte's ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.