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Frank Kane - Frank Kanes Taming Big Data with Apache Spark and Python

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Frank Kanes Taming Big Data with Apache Spark and Python Real-world examples - photo 1
Frank Kane's Taming Big Data with Apache Spark and Python
Real-world examples to help you analyze large datasets with Apache Spark
Frank Kane
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Frank Kane's Taming Big Data with Apache Spark and Python

Copyright 2017 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing, and its dealers and distributors will be held liable for any damages caused or alleged to be caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

First published: June 2017

Production reference: 1290617

Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham
B3 2PB, UK.

ISBN 978-1-78728-794-5

www.packtpub.com

Credits

Author

Frank Kane

Project Coordinator

Suzanne Coutinho

Commissioning Editor

Ben Renow-Clarke

Proofreader

Safis Editing

Acquisition Editor

Ben Renow-Clarke

Indexer

Aishwarya Gangawane

Content Development Editor

Monika Sangwan

Graphics

Kirk D'Penha

Technical Editor

Nidhisha Shetty

Production Coordinator

Arvindkumar Gupta

Copy Editor

Tom Jacob

About the Author

My name is Frank Kane. I spent nine years at amazon.com and imdb.com, wrangling millions of customer ratings and customer transactions to produce things such as personalized recommendations for movies and products and "people who bought this also bought." I tell you, I wish we had Apache Spark back then, when I spent years trying to solve these problems there. I hold 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, I left to start my own successful company, Sundog Software, which focuses on virtual reality environment technology, and teaching others about big data analysis.

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Preface

We will do some really quick housekeeping here, just so you know where to put all the stuff for this book. First, I want you to go to your hard drive, create a new folder called SparkCourse, and put it in a place where you're going to remember it is:

For me I put that in my C drive in a folder called SparkCourse This is where - photo 5

For me, I put that in my C drive in a folder called SparkCourse. This is where you're going to put everything for this book. As you go through the individual sections of this book, you'll see that there are resources provided for each one. There can be different kinds of resources, files, and downloads. When you download them, make sure you put them in this folder that you have created. This is the ultimate destination of everything you're going to download for this book, as you can see in my SparkCourse folder, shown in the following screenshot; you'll just accumulate all this stuff over time as you work your way through it:

So remember where you put it all you might need to refer to these files by - photo 6

So, remember where you put it all, you might need to refer to these files by their path, in this case, C:\SparkCourse. Just make sure you download them to a consistent place and you should be good to go. Also, be cognizant of the differences in file paths between operating systems. If you're on Mac or Linux, you're not going to have a C drive; you'll just have a slash and the full path name. Capitalization might be important, while it's not in Windows. Using forward slashes instead of backslashes in paths is another difference between other operating systems and Windows. So if you are using something other than Windows, just remember these differences, don't let them trip you up. If you see a path to a file and a script, make sure you adjust it accordingly to make sense of where you put these files and what your operating system is.

What this book covers

, Getting Started with Spark, covers basic installation instructions for Spark and its related software. This chapter illustrates a simple example of data analysis of real movie ratings data provided by different sets of people.

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