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You're reading from  Frank Kane's Taming Big Data with Apache Spark and Python

Product typeBook
Published inJun 2017
Reading LevelIntermediate
PublisherPackt
ISBN-139781787287945
Edition1st Edition
Languages
Python
Tools
Apache Spark
Concepts
Big Data
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Author (1)
Frank Kane
Frank Kane
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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.
Read more about Frank Kane

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Running the minimum temperature example and modifying it for maximums

Let's see this filter in action and find out the minimum temperature observed for each weather station in the year 1800. Go to the download package for this book and download two things: the min-temperatures Python script and the 1800.csv data file, which contains our weather information. Go ahead and download these now. When you're done, place them into your C:SparkCourse folder or wherever you're storing all the stuff for this course:

When you're ready, go ahead and double-click on min-temperatures.py and open that up in your editor. I think it makes a little bit more sense once you see this all together. Feel free to take some time to wrap your head around it and figure out what's going on here and then I'll walk you through it.

Examining the min-temperatures script

We start off with the usual boilerplate stuff, importing what we need from pyspark and setting up a SparkContext object that we're going to call MinTemperatures...

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Frank Kane's Taming Big Data with Apache Spark and Python
Published in: Jun 2017Publisher: PacktISBN-13: 9781787287945
© 2017 Packt Publishing Limited All Rights Reserved

Author (1)

author image
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.
Read more about Frank Kane

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