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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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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

Using the Raspberry Pi with Azure IoT Edge

The promise of Azure IoT Edge can only be realized when an actual edge device is used. The edge analytics benefits of privacy, latency, and reliability are on full display when we are able to process logic using an edge device, thus the need for a computer that gives us the power to do such, but in a size that allows for easy installation for our applications. The Raspberry Pi is such a computer. In this chapter, we will learn how to utilize the power of the Raspberry Pi as we turn it into an Azure IoT Edge device.

In the previous chapter, we learned a bit about Microsoft Azure and the Azure IoT Hub. This background is essential in understanding Azure IoT Edge. The knowledge gained from the previous chapter will assist us in installing Azure IoT Edge on the Raspberry Pi.

In this chapter, we will look at the following topics:

  • Installing...
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