Hands-On Edge Analytics with Azure IoT: Design and develop IoT applications with edge analytical solutions including Azure IoT Edge

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Hands-On Edge Analytics with Azure IoT: Design and develop IoT applications with edge analytical solutions including Azure IoT Edge

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內容描述

Design, secure, and protect the privacy of edge analytics applications using platforms and tools such as Microsoft's Azure IoT Edge, MicroPython, and Open Source Computer Vision (OpenCV)
Key Features

Become well-versed with best practices for implementing automated analytical computations
Discover real-world examples to extend cloud intelligence
Develop your skills by understanding edge analytics and applying it to research activities

Book Description
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.
What you will learn

Discover the key concepts and architectures used with edge analytics
Understand how to use long-distance communication protocols for edge analytics
Deploy Microsoft Azure IoT Edge to a Raspberry Pi
Create Node-RED dashboards with MQTT and Text to Speech (TTS)
Use MicroPython for developing edge analytics apps
Explore various machine learning techniques and discover how machine learning is related to edge analytics
Use camera and vision recognition algorithms on the sensory side to design an edge analytics app
Monitor and audit edge analytics apps

Who this book is for
If you are a data analyst, data architect, or data scientist who is interested in learning and practicing advanced automated analytical computations, then this book is for you. You will also find this book useful if you’re looking to learn edge analytics from scratch. Basic knowledge of data analytics concepts is assumed to get the most out of this book.

目錄大綱

Introduction to Edge Analytics
How Does IoT Edge Analytics Work?
Communications Protocols used in Edge Analytics
Working with Microsoft Azure IoT Edge
Using the Raspberry Pi with Azure IoT Edge
Using MicroPython for Edge Analytics
Machine Learning and Edge Analytics
Designing a Smart Doorbell Using Visual Recognition
Security and Privacy in an Edge Analytics World
What Next?

作者介紹

Colin Dow is the owner and chief engineer of Sigma Rockets and Aerospace Inc., a model aerospace business. He has enjoyed working with numerous educational facilities and hobbyists in delivering product sales, presentations, and aerospace workshops over the years. Colin has extensive experience of creating website content, educational documentation, and instructional videos. He has been a programmer since early home computers first caught his eye. He has worked as a software developer for some of Canada's largest companies, using technologies, such as Python, Java, J2EE, PHP, Pearl, Ruby on Rails, Apache, and SOAP web services. Colin has extensive experience of creating website content, educational documentation, and instructional videos.