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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 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

What you need for this book

For this book you’ll need a Python development environment (Python 3.5 or newer), a Canopy installer, Java Development Kit, and of course Spark itself (Spark 2.0 and beyond).

We'll show you how to install this software in first chapter of the book.

This book is based on the Windows operating system, so installations are provided according to it. If you have Mac or Linux, you can follow this URL http://media.sundog-soft.com/spark-python-install.pdf, which contains written instructions on getting everything set up on Mac OS and on Linux.

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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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