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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
Last Updated in Feb 2025
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

Superhero degrees of separation - introducing the breadth-first search algorithm


You might have heard how everyone is connected through six degrees of separation. Somebody you know knows somebody else who knows somebody else and so on; eventually, you can be connected to pretty much everyone on the planet. Or maybe you've heard about how Kevin Bacon is within a few degrees of separation of pretty much everybody in Hollywood. Well, I used to work at imdb.com, and I can tell you that is true, Kevin Bacon is pretty well connected, but a lot of other actors are too. Kevin Bacon is actually not the most connected actor, but I digress! We want to bring this concept of degrees of separation to our superhero dataset, where we have this virtual social network of superheroes.

Let's figure out the degrees of separation between any two superheroes in that dataset. Is the Hulk connected to Spider-Man closely? How do you find how many connections there are between any two given superheroes that we have...

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