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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

Spark Streaming

Stream processing is another big and popular topic for Apache Spark. It involves the processing of data in Spark as streams and covers topics such as input and output operations, transformations, persistence, and checkpointing, among others.

Apache Spark Streaming will cover the area of processing, and we will also see practical examples of different types of stream processing. This discusses batch and window stream configuration and provides a practical example of checkpointing. It also covers different examples of stream processing, including Kafka and Flume.

There are many ways in which stream data can be used. Other Spark module functionality (for example, SQL, MLlib, and GraphX) can be used to process the stream. You can use Spark Streaming with systems such as MQTT or ZeroMQ. You can even create custom receivers for your own user-defined data sources.

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Mastering Apache Spark 2.x - Second Edition

Published in: Jul 2017 Publisher: Packt ISBN-13: 9781786462749

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