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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

Section 2: Understanding Edge Analytics Technologies

In order to design new applications with edge analytics, we need to understand the what and how of the IoT ingredients needed. In Section 2, we will discuss the technologies and components used to create an edge analytics application. We will learn about Microsoft Azure IoT Edge, AWS IoT Greengrass, MicroPython, and the OpenCV visual recognition library. We will conclude section two by designing a smart doorbell system using some of the technologies we will have learned about.

This section comprises the following chapters:

  • Chapter 4, Working with Microsoft Azure IoT Hub
  • Chapter 5, Using the Raspberry Pi with Azure IoT Edge
  • Chapter 6, Using MicroPython for Edge Analytics
  • Chapter 7, Machine Learning and Edge Analytics
  • Chapter 8, Designing a Smart Doorbell with Visual Recognition
...
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