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Hands-On Edge Analytics with Azure IoT

Hands-On Edge Analytics with Azure IoT

By : Colin Dow
4.7 (3)
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Hands-On Edge Analytics with Azure IoT

Hands-On Edge Analytics with Azure IoT

4.7 (3)
By: Colin Dow

Overview of this book

Edge analytics has gained attention as the IoT model for connected devices rises in popularity. This guide will give you insights into edge analytics as a data analysis model, and help you understand why it’s gaining momentum. You'll begin with the key concepts and components used in an edge analytics app. Moving ahead, you'll delve into communication protocols to understand how sensors send their data to computers or microcontrollers. Next, the book will demonstrate how to design modern edge analytics apps that take advantage of the processing power of modern single-board computers and microcontrollers. Later, you'll explore Microsoft Azure IoT Edge, MicroPython, and the OpenCV visual recognition library. As you progress, you'll cover techniques for processing AI functionalities from the server side to the sensory side of IoT. You'll even get hands-on with designing a smart doorbell system using the technologies you’ve learned. To remove vulnerabilities in the overall edge analytics architecture, you'll discover ways to overcome security and privacy challenges. Finally, you'll use tools to audit and perform real-time monitoring of incoming data and generate alerts for the infrastructure. By the end of this book, you'll have learned how to use edge analytics programming techniques and be able to implement automated analytical computations.
Table of Contents (15 chapters)
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1
Section 1: Getting Started with Edge Analytics
5
Section 2: Understanding Edge Analytics Technologies
11
Section 3: The Road Ahead

Summary

In this chapter, we began by touching briefly on the various computing platforms. We described how the mainframe computer with accompanying dumb terminals was superseded in part by the rise of connected personal computers, and how this was similar to the difference between an IoT application and an edge analytics one. We discussed how edge analytics is really just an edge computing paradigm.

We then looked at the advantages of using edge analytics over a traditional IoT application. We described a scenario where a vending machine uses a standard IoT solution, and the challenges this type of approach has.

We also started looking at the Microsoft Azure IoT offering. We discussed Microsoft Azure IoT Edge and how this relates to Azure IoT.

We concluded the chapter with a cursory look at a real-world example of the Microsoft Azure IoT Edge platform. In the next chapter, we...

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