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Hands-On Edge Analytics with Azure IoT

By : Colin Dow

4.7 (3)

Buy this Book

Hands-On Edge Analytics with Azure IoT

4.7 (3)

By: Colin Dow

Buy this Book

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.

Preface

Who this book is for

What this book covers

To get the most out of this book

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Section 1: Getting Started with Edge Analytics

Free Chapter

Introduction to Edge Analytics

What is edge analytics?

Applying and comparing architectures

Key benefits of edge analytics

Edge analytics architectures

Using edge analytics in the real world

Summary

Questions

How Does IoT Edge Analytics Work?

What are the components used in an edge analytics application?

How do the components fit together?

More examples of real-world edge analytics applications

Summary

Questions

Further reading

Communications Protocols Used in Edge Analytics

Wi-Fi communication for edge analytics

Bluetooth for edge analytics communication

Cellular technologies for edge analytics communication

Long-distance communication using LoRa and Sigfox for edge analytics

Summary

Questions

Further reading

Section 2: Understanding Edge Analytics Technologies

Working with Microsoft Azure IoT Hub

What is Microsoft Azure?

What is Azure IoT Hub?

A quick tutorial on Azure IoT Hub

Summary

Questions

Further reading

Using the Raspberry Pi with Azure IoT Edge

Installing Azure IoT Edge on the Raspberry Pi

Connecting our Raspberry Pi edge device

Adding a simulated temperature sensor to our edge device

Summary

Questions

Further reading

Using MicroPython for Edge Analytics

Understanding MicroPython

Exploring the hardware that runs MicroPython

Using MicroPython for an edge analytics application

Summary

Questions

Further reading

Machine Learning and Edge Analytics

Understanding machine learning and how it works with edge analytics

Using edge intelligence with microcontrollers

Other offerings of machine learning and Azure IoT Edge

Summary

Questions

Further reading

Designing a Smart Doorbell with Visual Recognition

Setting up the environment

Writing the edge code

Creating the Node-RED dashboard

Summary

Questions

Further reading

Section 3: The Road Ahead

Security and Privacy in an Edge Analytics World

An overview of the Internet-of-Things security

Types of attacks against our edge analytics applications

Protecting our edge analytics applications

Monitoring and auditing our edge analytics applications

Summary

Questions

Further reading

What Next?

Recapping what we have learned about edge analytics

Looking at the future of edge analytics

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Questions

Having learned the lessons in this chapter, try answering the following questions on your own:

True/False. Edge analytics is about processing data at the sensory level.
True/False. The first IoT device was a vending machine built by graduate students at CMU.
How many computers did Thomas Watson say the world would ever need?
What are the three key benefits of edge analytics to be understood?
True/False. The automated door used in our security application may be controlled anywhere in the world.
What are the advantages of using edge computing?
True/False. Azure IoT Edge and edge computing share the same advantages.
What were some of the uses of early P2P networks?
True/False. Microsoft Azure IoT is a collection of Azure services used to build IoT applications.
True/False. Route optimization was one of the benefits to Mars Drinks of using Azure IoT.

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