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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

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787287945
Length 296 pages
Edition 1st Edition
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Concepts
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Author (1):
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Frank Kane Frank Kane
Author Profile Icon Frank Kane
Frank Kane
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Table of Contents (13) Chapters Close

Title Page
Credits
About the Author
www.PacktPub.com
Customer Feedback
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

Check your results and sort them by the total amount spent


Did you do your homework? I hope so. Hopefully, you were able to draw on our previous examples and now have a running script that adds up the total amount spent by customer in my little fake dataset. Let's compare your implementation to my implementation and your results to mine and see if they match up. If they don't, hopefully you'll learn something from it.

Let's have a look at my solution. If you go to the download package for this book, you will see my total-spent-by-customer script, feel free to download that and put it into your SparkCourse folder alongside your own solution to this problem and the book.txt file that you should have from the previous section. Go ahead and open that up. When you're ready, here's my take at it:

This is a very simple script, but the idea was just to get you into the practice of writing your own Spark programs. Even if it's a simple one, writing your first program is a big accomplishment. Let's...

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