Book Image

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

By : Frank Kane
Book Image

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

By: Frank Kane

Overview of this book

Frank Kane’s Taming Big Data with Apache Spark and Python is your companion to learning Apache Spark in a hands-on manner. Frank will start you off by teaching you how to set up Spark on a single system or on a cluster, and you’ll soon move on to analyzing large data sets using Spark RDD, and developing and running effective Spark jobs quickly using Python. Apache Spark has emerged as the next big thing in the Big Data domain – quickly rising from an ascending technology to an established superstar in just a matter of years. Spark allows you to quickly extract actionable insights from large amounts of data, on a real-time basis, making it an essential tool in many modern businesses. Frank has packed this book with over 15 interactive, fun-filled examples relevant to the real world, and he will empower you to understand the Spark ecosystem and implement production-grade real-time Spark projects with ease.
Table of Contents (13 chapters)
Title Page
Credits
About the Author
www.PacktPub.com
Customer Feedback
Preface
7
Where to Go From Here? – Learning More About Spark and Data Science

Superhero degrees of separation - review the code and run it


Using breadth-first search, let's actually find the degrees of separation between two given superheroes in our Marvel superhero dataset. In the download package for this book, download the degrees-of-separation script into your SparkCourse folder. We'll work up a pretty good library here of different examples, so keep this handy. There's a good chance that some problem you face in the future will have a similar pattern to something we've already done here, and this might be a useful reference for you. Once you have downloaded that script, double-click it. We already have the Marvel-graph and Marvel-names text files for our input from previous sections.

Here is the degrees-of-separation script:

The point here is just to illustrate how problems that may not seem like they lend themselves to Spark at first, actually can be incremented in Spark with a little bit of creative thinking. I also want to introduce the concept of accumulators...