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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

Example - connection to a MQTT message broker

So, let's start with a sample use case. Let's connect to an Internet of Things (IoT) sensor data stream. As we haven't covered machine learning so far, we don't analyze the data, we just showcase the concept.

We are using the IBM Watson IoT platform as a streaming source. At its core, the Watson IoT platform is backed by an MQTT (Message Queue Telemetry Transport) message broker. MQTT is a lightweight telemetry protocol invented by IBM in 1999 and became-- an OASIS (Organization for the Advancement of Structured Information Standards, a global nonprofit consortium that works on the development, convergence, and adoption of standards for security, Internet of Things, energy, content technologies, emergency management, and other areas) standard in 2013--the de facto standard for IoT data integration.

Note

Messaging between applications can be backed by a message queue which is a middleware system supporting asynchronous point to point channels in...

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