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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 FREE CHAPTER 2. Transformations and Actions with Spark RDDs 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


In this chapter we have covered the topics surrounding running Spark on different clusters including standalone, YARN, and Mesos. As with the rest of the book, the objective of this chapter is to get you started on Spark and is by no means a comprehensive guide to running Spark on these cluster managers. In fact, each cluster manager operation can span an entire book.

We've now covered most of the topics in this book, and will now look at practical examples and use cases over the course of the next two chapters. The objective of the next chapters is to make the reader go through a simple exercise of building a recommendation and churn model and understand how Spark can be utilized for this purpose.

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