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Frank Kane's Taming Big Data with Apache Spark and Python

You're reading from   Frank Kane's Taming Big Data with Apache Spark and Python Real-world examples to help you analyze large datasets with Apache Spark

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787287945
Length 296 pages
Edition 1st Edition
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Concepts
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Author (1):
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Frank Kane Frank Kane
Author Profile Icon Frank Kane
Frank Kane
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Table of Contents (8) Chapters Close

Preface 1. Getting Started with Spark 2. Spark Basics and Spark Examples FREE CHAPTER 3. Advanced Examples of Spark Programs 4. Running Spark on a Cluster 5. SparkSQL, DataFrames, and DataSets 6. Other Spark Technologies and Libraries 7. Where to Go From Here? – Learning More About Spark and Data Science

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...

You have been reading a chapter from
Frank Kane's Taming Big Data with Apache Spark and Python
Published in: Jun 2017
Publisher: Packt
ISBN-13: 9781787287945
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