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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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Author (1):
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Frank Kane Frank Kane
Author Profile Icon Frank Kane
Frank Kane
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Table of Contents (8) Chapters Close

Preface 1. Getting Started with Spark 2. Spark Basics and Spark Examples FREE CHAPTER 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

Running the maximum temperature by location example


I hope you did your homework. You should have had a crack at finding the maximum temperature for the year for each weather station instead of a minimum temperature, using our min-temperatures Python script as a starting point. If you haven't, go give it a try! Really, the only way you're going to learn this stuff is by diving in there and messing with the code yourself. I very strongly encourage you to give this a try-it's not hard. If you have done that though, let's move forward and take a look at my results. We can compare that to yours and see if you got it right.

Hopefully, you didn't have too much of a hard time figuring out the maximum temperature observed at the each weather station for the year 1800; it just involved a few changes. If you go to the download package for this book, you can download my solution to it, which is the max-temperatures script. If you like, you can throw that into your SparkCourse directory and compare your...

You have been reading a chapter from
Frank Kane's Taming Big Data with Apache Spark and Python
Published in: Jun 2017
Publisher: Packt
ISBN-13: 9781787287945
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