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The Azure IoT Handbook

You're reading from   The Azure IoT Handbook Develop IoT solutions using the intelligent edge-to-cloud technologies

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Product type Paperback
Published in Dec 2023
Publisher Packt
ISBN-13 9781837633616
Length 248 pages
Edition 1st Edition
Tools
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Author (1):
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Dan Clark Dan Clark
Author Profile Icon Dan Clark
Dan Clark
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Table of Contents (18) Chapters Close

Preface 1. Part 1: Capturing Data from Remote Devices
2. Chapter 1: An Introduction to the IoT FREE CHAPTER 3. Chapter 2: Exploring the IoT Hub Service 4. Chapter 3: Provisioning Devices with the Device Provisioning Service 5. Chapter 4: Exploring Device Management and Monitoring 6. Chapter 5: Securing IoT Systems 7. Part 2: Processing the Data
8. Chapter 6: Creating Message Routing 9. Chapter 7: Exploring Azure Stream Analytics 10. Chapter 8: Investigating IoT Data with Azure Data Explorer 11. Chapter 9: Exploring IoT Edge Computing 12. Part 3: Processing the Data
13. Chapter 10: Visualizing Streaming Data in Power BI 14. Chapter 11: Integrating Machine Learning 15. Chapter 12: Responding to Device Events 16. Index 17. Other Books You May Enjoy

Summary

This chapter emphasized the importance of securing IoT systems due to their inherent complexity. It discussed the need to protect various aspects of the system. The chapter provided an introduction to ensuring system security and the various tools that can simplify the process. Key topics covered include end-to-end security for IoT, Microsoft Defender for IoT, utilizing security agents, Microsoft Defender for Cloud, and a lab session on Microsoft Defender for IoT. Although this chapter just covered the basics, security is an important topic, and you should work with your cloud security experts to make sure your IoT security plan is up to date and robust.

Following the acquisition of streaming data from your devices, the subsequent phase involves data processing to extract valuable insights. Over the upcoming chapters, we will delve into various aspects such as message routing, long-term trend analysis through message storage, real-time streaming analytics with Azure Stream...

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