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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 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

Where to Go From Here? – Learning More About Spark and Data Science

If you made it this far, congratulations! Thanks for sticking through this whole book with me. If you feel like it was a useful experience and you've learned a few things, please write a review on this book. That will help me improve the book in future editions. Let me know what I'm doing right and what I'm doing wrong, and it will help other prospective students understand if they should give this course a try. I'd really appreciate your feedback.

So where do you go from here? What's next? Well, there's obviously a lot more to learn. We've covered a lot of the basics of Spark, but of course there is more to the field of data science and big data as a whole. If you want more information on this topic, Packt offer an extensive collection of Spark books and courses. There...

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