June 2017
Beginner to intermediate
296 pages
7h 4m
English
Content preview from Frank Kane's Taming Big Data with Apache Spark and Python
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Running the similar-movies script using Spark's cluster manager
Leading up to this point has been a lot of work, but we now have a Spark program that should give us similar movies to each other. We can figure out what movies are similar to each other, just based on similarities between user ratings. Let's turn this movie similarities problem into some real code, run it, and look at the results. Go to the download package for this book, you will find a movie-similarities script. Download that to your SparkCourse folder and open it up. We're going to keep on using the MovieLens 100,000 rating dataset for this example, so there's no new data to download, just the script. This is the most complicated thing we're going to do in this course, so ...
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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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