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Hands-On Edge Analytics with Azure IoT

You're reading from  Hands-On Edge Analytics with Azure IoT

Product type Book
Published in May 2020
Publisher Packt
ISBN-13 9781838829902
Pages 262 pages
Edition 1st Edition
Languages
Author (1):
Colin Dow Colin Dow
Profile icon Colin Dow

Table of Contents (15) Chapters

Preface 1. Section 1: Getting Started with Edge Analytics
2. Introduction to Edge Analytics 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. Edge analytics is about processing data at the sensory level.
  2. True/False. The first IoT device was a vending machine built by graduate students at CMU.
  3. How many computers did Thomas Watson say the world would ever need?
  4. What are the three key benefits of edge analytics to be understood?
  5. True/False. The automated door used in our security application may be controlled anywhere in the world.
  6. What are the advantages of using edge computing?
  7. True/False. Azure IoT Edge and edge computing share the same advantages.
  8. What were some of the uses of early P2P networks?
  9. True/False. Microsoft Azure IoT is a collection of Azure services used to build IoT applications.
  10. True/False. Route optimization was one of the benefits to Mars Drinks of using Azure IoT.
...
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Hands-On Edge Analytics with Azure IoT
Published in: May 2020 Publisher: Packt ISBN-13: 9781838829902
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