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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

Product type Paperback

Published in Jun 2017

Publisher Packt

ISBN-13 9781787287945

Length 296 pages

Edition 1st Edition

Languages

Python

Tools

Apache Spark

Concepts

Big Data

Author (1):

Frank Kane

View More author details

Table of Contents (8) Chapters

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

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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Authors (1)

Frank Kane

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.

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