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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

Understanding MicroPython

Launched as a Kickstarter campaign in 2013 by its creator, Damien George, MicroPython is an implementation of the Python 3 language for microcontrollers. MicroPython is run at the bare metal layer of the microcontroller, meaning that the language has access to the microcontroller's physical inputs and outputs. This allows developers to use MicroPython to read sensory information such as ambient temperature as well as control motors, relays, and so on. With MicroPython, developers can utilize the power and ease of Python 3 for building things such as robots.

CircuitPython is a version of MicroPython made by Adafruit Industries for use in their brand of microcontrollers. CircuitPython is designed to be easier to use than MicroPython and is geared toward educational use. CircuitPython updates are tied to updates of the MicroPython platform.

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