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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

Summary

We started this chapter by discussing the various types of cloud services offered by cloud service providers such as Microsoft. With virtual machines, users have the most control over their cloud computing environment. The IaaS model offers virtual machines where users are responsible for upgrades to the operating system and applications.

Containers provide a quick and stable environment in which to install applications. The PaaS model provides a container environment for such setups. Microsoft also offers SaaS for those only interested in using pre-installed software applications. The FaaS model allows for the construction of microservices for serverless computing application architectures.

After becoming acquainted with the Azure portal, we did a tutorial using the Azure IoT Hub resource. We were able to use the IoT hub to send simulated sensory information from a Python...

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