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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

Cellular technologies for edge analytics communication

For edge analytics applications where access to a Wi-Fi-connected internet router is available, connection to the outside world is relatively simple. For more remote applications, other types of communications technologies are required. We will look at some of those technologies in the remaining sections of this chapter. We will first start with cellular data and explain the importance of 5G technology for IoT and edge analytics.

The generations of cellular network technology

Cellular phones and devices use frequencies starting in the UHF band with bandwidth (the analog version of bandwidth) regionally dependent. Motorola launched the first commercial cell phone in 1983...

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