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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

This concludes our Appendix where we covered some topics based on performance tuning, sizing up your executors, handling data skew, configuring security, setting up a Jupyter notebook with Spark and finally broadcast variables and accumulators.

There are many more topics still to be covered, but we hope that this book has given you an effective quick-start with Spark 2.0, and you can use it to explore Spark further. Of course, Spark is one of the fastest moving projects out there, so by the time the book is out there will surely be many new features. One of the best places to keep up-to-date on the latest changes is http://spark.apache.org/documentation.html, where you can see the list of releases and the latest news.

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