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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

Working with Microsoft Azure IoT Hub

In Chapter 1, Introduction to Edge Analytics, we touched on Azure IoT Edge and Azure IoT. In this chapter, we will start to work with Azure IoT services using Microsoft Azure. The lessons learned from this will provide a good background for Chapter 5, Using the Raspberry Pi with Azure IoT Edge.

We will create a Microsoft Azure account and then proceed to log in to the Azure portal. We will take a brief look at the portal and move on to creating an IoT hub resource. We will transmit simulated data to the IoT hub from a Python client and view it using a Microsoft utility called Device Explorer.

In this chapter, we will cover the following topics:

  • What is Microsoft Azure?
  • What is Azure IoT Hub?
  • A quick tutorial on Azure IoT Hub
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