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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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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 FREE CHAPTER 2. Spark Basics and Spark Examples 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

Finding the most popular superhero in a social graph

Believe it or not, there's actually a publicly available dataset, where someone figured out all the appearances that Marvel superheroes had with each other in different comic books. We can use that to figure out relationships between superheroes in the Marvel Universe and other aspects of them that we might find interesting. Let's start off with a simple example, where we just try to find the most popular superhero in the Marvel dataset. Is Spider-Man or The Hulk the most commonly appearing superhero in Marvel Comics? Well, the answer might surprise you. Let's go dig in and find out.

Superhero social networks

We have a superhero social network that someone...

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