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Mastering Apache Spark 2.x - Second Edition

You're reading from  Mastering Apache Spark 2.x - Second Edition

Product type Book
Published in Jul 2017
Publisher Packt
ISBN-13 9781786462749
Pages 354 pages
Edition 2nd Edition
Languages
Concepts

Table of Contents (21) Chapters

Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. A First Taste and What’s New in Apache Spark V2 2. Apache Spark SQL 3. The Catalyst Optimizer 4. Project Tungsten 5. Apache Spark Streaming 6. Structured Streaming 7. Apache Spark MLlib 8. Apache SparkML 9. Apache SystemML 10. Deep Learning on Apache Spark with DeepLearning4j and H2O 11. Apache Spark GraphX 12. Apache Spark GraphFrames 13. Apache Spark with Jupyter Notebooks on IBM DataScience Experience 14. Apache Spark on Kubernetes

Summary

This chapter basically was a sales pitch for using DataFrames, Datasets, and SQL over RDDs, because in the majority of cases, the optimizer does such a great job that the performance is nearly equal to hand-optimized code on RDDs. You now know the internals of the optimizer, which will give you a solid foundation in using all components that are based on it and that are introduced in the subsequent chapters.

The next chapter is dedicated to Tungsten Phase I and Phase II, which is a mind-blowing technology that accelerates computations by a factor of 100, so stay tuned!

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