Book Image

Hands-On Edge Analytics with Azure IoT

By : Colin Dow
Book Image

Hands-On Edge Analytics with Azure IoT

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.

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Table of Contents (15 chapters)
Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
Get in touch
1
Section 1: Getting Started with Edge Analytics
Section 1: Getting Started with Edge Analytics
Free Chapter
2
Introduction to Edge Analytics
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
3
How Does IoT Edge Analytics Work?
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
4
Communications Protocols Used in Edge Analytics
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
5
Section 2: Understanding Edge Analytics Technologies
Section 2: Understanding Edge Analytics Technologies
6
Working with Microsoft Azure IoT Hub
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
7
Using the Raspberry Pi with Azure IoT Edge
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
8
Using MicroPython for Edge Analytics
Using MicroPython for Edge Analytics
Understanding MicroPython
Exploring the hardware that runs MicroPython
Using MicroPython for an edge analytics application
Summary
Questions
Further reading
9
Machine Learning and Edge Analytics
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
10
Designing a Smart Doorbell with Visual Recognition
Designing a Smart Doorbell with Visual Recognition
Setting up the environment
Writing the edge code
Creating the Node-RED dashboard
Summary
Questions
Further reading
11
Section 3: The Road Ahead
Section 3: The Road Ahead
12
Security and Privacy in an Edge Analytics World
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
13
What Next?
What Next?
Recapping what we have learned about edge analytics
Looking at the future of edge analytics
14
Other Books You May Enjoy
Other Books You May Enjoy
Leave a review - let other readers know what you think

Questions

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

  1. True/False. Sensors are an important part of an edge analytics application.
  2. True/False. The DHT11 sensor is used to measure distance.
  3. How many parts make up a soil moisture sensor?
  4. What is a smart garden?
  5. True/False. Albert Einstein had something to do with the development of the laser.
  6. What year did the ESP8266 chip receive critical attention?
  7. True/False. Arduino started as a project for students in 2005.
  8. What does the Azure IoT Edge runtime enable?
  9. True/False. A module image lives in the cloud.
  10. True/False. With our weather predictor application, a blue LED indicates that a rising or falling barometric pressure has not been determined.
Previous Section
End of Section 6
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