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Hands-On Edge Analytics with Azure IoT

You're reading from   Hands-On Edge Analytics with Azure IoT Design and develop IoT applications with edge analytical solutions including Azure IoT Edge

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Product type Paperback
Published in May 2020
Publisher Packt
ISBN-13 9781838829902
Length 262 pages
Edition 1st Edition
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Author (1):
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Colin Dow Colin Dow
Author Profile Icon Colin Dow
Colin Dow
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Toc

Table of Contents (15) Chapters Close

Preface 1. Section 1: Getting Started with Edge Analytics
2. Introduction to Edge Analytics FREE CHAPTER 3. How Does IoT Edge Analytics Work? 4. Communications Protocols Used in Edge Analytics 5. Section 2: Understanding Edge Analytics Technologies
6. Working with Microsoft Azure IoT Hub 7. Using the Raspberry Pi with Azure IoT Edge 8. Using MicroPython for Edge Analytics 9. Machine Learning and Edge Analytics 10. Designing a Smart Doorbell with Visual Recognition 11. Section 3: The Road Ahead
12. Security and Privacy in an Edge Analytics World 13. What Next? 14. Other Books You May Enjoy

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.
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