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Learning Apache Spark 2

You're reading from   Learning Apache Spark 2 A beginner's guide to real-time Big Data processing using the Apache Spark framework

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781785885136
Length 356 pages
Edition 1st Edition
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Author (1):
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Muhammad Asif Abbasi Muhammad Asif Abbasi
Author Profile Icon Muhammad Asif Abbasi
Muhammad Asif Abbasi
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Table of Contents (12) Chapters Close

Preface 1. Architecture and Installation 2. Transformations and Actions with Spark RDDs FREE CHAPTER 3. ETL with Spark 4. Spark SQL 5. Spark Streaming 6. Machine Learning with Spark 7. GraphX 8. Operating in Clustered Mode 9. Building a Recommendation System 10. Customer Churn Prediction Theres More with Spark

Summary

This concludes the chapter. We have gone through recommendation systems, including the theory and some practical examples in Scala. I have learned a lot of this theory from some of the courses on data mining at Coursera, which is an amazing platform. I hope we have been able to do justice to the topic. We have tried to focus a lot on the design and the factors involved in a recommendation system as I always believe that engineering the solution is the easy part once you understand what you are up against.

The next chapter is focused on another case study, which is churn prediction, one of the most popular use cases in any customer-driven organization, that understands the cost of acquiring a new customer versus retaining an existing one.

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