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Hands-On Edge Analytics with Azure IoT

You're reading from   Hands-On Edge Analytics with Azure IoT Design and develop IoT applications with edge analytical solutions including Azure IoT Edge

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Product type Paperback
Published in May 2020
Publisher Packt
ISBN-13 9781838829902
Length 262 pages
Edition 1st Edition
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Author (1):
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Colin Dow Colin Dow
Author Profile Icon Colin Dow
Colin Dow
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Toc

Table of Contents (15) Chapters Close

Preface 1. Section 1: Getting Started with Edge Analytics
2. Introduction to Edge Analytics FREE CHAPTER 3. How Does IoT Edge Analytics Work? 4. Communications Protocols Used in Edge Analytics 5. Section 2: Understanding Edge Analytics Technologies
6. Working with Microsoft Azure IoT Hub 7. Using the Raspberry Pi with Azure IoT Edge 8. Using MicroPython for Edge Analytics 9. Machine Learning and Edge Analytics 10. Designing a Smart Doorbell with Visual Recognition 11. Section 3: The Road Ahead
12. Security and Privacy in an Edge Analytics World 13. What Next? 14. Other Books You May Enjoy

Summary

As a small yet powerful single-board computer, the Raspberry Pi is a perfect computer to use as an edge device. Using Stretch, a version of the Raspbian operating system, we are able to configure the Raspberry Pi as an Azure IoT Edge device.

In this chapter, we installed the libraries and dependencies needed to turn the Raspberry Pi into an edge device for an Azure IoT Hub. We configured the necessary resources in the Azure portal and used the Microsoft Device Explorer tool to read telemetry data from our Raspberry Pi Azure IoT Edge device.

In the next chapter, we will step away from Microsoft Azure and use the MicroPython programming language for edge analytics.

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