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Colin Dow - 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: summary, description and annotation

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Design, secure, and protect the privacy of edge analytics applications using platforms and tools such as Microsofts 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 its gaining momentum. Youll begin with the key concepts and components used in an edge analytics app. Moving ahead, youll 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, youll explore Microsoft Azure IoT Edge, MicroPython, and the OpenCV visual recognition library. As you progress, youll cover techniques for processing AI functionalities from the server side to the sensory side of IoT. Youll even get hands-on with designing a smart doorbell system using the technologies youve learned. To remove vulnerabilities in the overall edge analytics architecture, youll discover ways to overcome security and privacy challenges. Finally, youll use tools to audit and perform real-time monitoring of incoming data and generate alerts for the infrastructure. By the end of this book, youll 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 youre looking to learn edge analytics from scratch. Basic knowledge of data analytics concepts is assumed to get the most out of this book.

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Hands-On Edge Analytics with Azure IoT Design and develop IoT applications - photo 1
Hands-On Edge Analytics
with Azure IoT
Design and develop IoT applications with edge analytical solutions including Azure IoT Edge
Colin Dow

BIRMINGHAM - MUMBAI Hands-On Edge Analytics with Azure IoT Copyright 2020 - photo 2

BIRMINGHAM - MUMBAI
Hands-On Edge Analytics with Azure IoT

Copyright 2020 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author(s), nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

Commissioning Editor: Sunith Shetty
Acquisition Editor: Devika Battike
Content Development Editor: Athikho Sapuni Rishana
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First published: May 2020

Production reference: 1200520

Published by Packt Publishing Ltd.
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ISBN 978-1-83882-990-2

www.packt.com


I would like to thank my wife, Constance, for her encouragement, support, and assistance; and my sons, Maximillian and Jackson, for their inspiration and optimism. I am forever grateful to them for this unique opportunity.
Colin Dow
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Contributors
About the author

Colin Dow is the author of the Packt book Internet of Things Programming Projects. He is also 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. He has extensive experience in 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, SOAP web services, and many more.

About the reviewers

Parkash Karki is a principal architect, product development manager, DevOps and cloud practice head, and hardcore IoT enthusiast with years of experience in the IT field. His past experience is mainly in various Microsoft and open source technologies with a current primary focus on DevOps, automation, and the cloud. He has been working on these technologies since they were at quite an early stage. He has contributed to a few other books on IoT as a technical reviewer. He is very passionate about IoT, automation, and AI technologies and keeps on reading, blogging, and trying out different things in these areas.

Yatish Patil works with Saviant Consulting as a program manager. He has delivered enterprise IoT and analytics applications using Microsoft Azure. He has diverse industry experience in IT and has worked in a variety of domains, such as utilities, manufacturing, and engineering. He has completed the Microsoft Azure IoT certification and is the author of Azure IoT Development Cookbook, which focuses on the end-to-end Microsoft Azure IoT platform and pre-configured solutions. He was also the technical reviewer for the book Microsoft Azure IaaS Essentials and Enterprise Internet of Things Handbook. Yatish was among the industry speakers at India IoT Symposium 2016 and delivered a session on remote asset monitoring with Azure IoT Suite.

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Preface

Edge analytics has gained attention as the IoT model for connected devices and is rising in popularity. This guide will give you insights into edge analytics as a data analysis model, and why it's gaining momentum.

You'll begin with the key concepts and components used in an edge analytics app. You'll then 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 and AI functionality from the server side to the sensory side of IoT. You'll even explore how to design a smart doorbell system using the technologies you will have learned about. 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.

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