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

Summary


You ran a Spark script on your desktop, doing some real data analysis of real movie ratings data from real people; how cool is that? We just analyzed a hundred thousand movie ratings data in just a couple of seconds really and got pretty nifty results. Let's move on and start to understand what's actually happening under the hood with Spark here, how it all works and how it fits together, and then we'll go back and study this example in a little bit more depth. In the next chapter, I'll review some of the basics of Spark, go over what it's used for, and give you some of that fundamental knowledge that you need to understand how this ratings counter script actually works.