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You're reading from  Frank Kane's Taming Big Data with Apache Spark and Python

Product typeBook
Published inJun 2017
Reading LevelIntermediate
PublisherPackt
ISBN-139781787287945
Edition1st Edition
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Concepts
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Author (1)
Frank Kane
Frank Kane
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Frank Kane

Frank Kane has spent nine years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers all the time. He holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology and teaches others about big data analysis.
Read more about Frank Kane

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Ratings histogram walk-through


Remember the RatingsHistogram code that we ran for your first Spark program? Well, let's take a closer look at that and figure out what's actually going on under the hood with it. Understanding concepts is all well and good, but nothing beats looking at some real examples. Let's go back to the RatingsHistogram example that we started off with in this book. We'll break it down and understand exactly what it's doing under the hood and how it's using our RDDs to actually get the results for the RatingsHistogram data.

Understanding the code

The first couple of lines are just boilerplate stuff. One thing you'll see in every Python Spark script is the import statement to import SparkConf and SparkContext from the pyspark library that Spark includes. You will, at a minimum, need those two objects:

from pyspark import SparkConf, SparkContext 
import collections 

SparkContext, as we talked about earlier, is the fundamental starting point that the Spark framework gives you...

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Frank Kane's Taming Big Data with Apache Spark and Python
Published in: Jun 2017Publisher: PacktISBN-13: 9781787287945

Author (1)

author image
Frank Kane

Frank Kane has spent nine years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers all the time. He holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology and teaches others about big data analysis.
Read more about Frank Kane