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The Azure IoT Handbook

You're reading from  The Azure IoT Handbook

Product type Book
Published in Dec 2023
Publisher Packt
ISBN-13 9781837633616
Pages 248 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Dan Clark Dan Clark
Profile icon Dan Clark
LinkedIn
Dan Clark is a senior developer and data engineer specializing in Microsoft technologies. He is focused on learning new AI and data technologies and training others on how to best implement those technologies. He has worked as an Azure Technical Trainer (ATT)for Microsoft and has over 25 years of experience as a Microsoft Certified Trainer. Dan has published several books and numerous articles on Microsoft technologies. He is a regular speaker at various developer and database conferences and user group meetings and enjoys interacting with the Microsoft communities.
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Table of Contents (18) Chapters

Preface 1. Part 1: Capturing Data from Remote Devices
2. Chapter 1: An Introduction to the IoT 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

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

Active Directory (AD) 39

Advanced Encryption Standard (AES) 82

Advanced Message Queuing Protocol (AMQP) 15, 82, 98

advanced threat protection (ATP) 87

ADX dashboard

creating 136, 137

alert

creating 73-79

testing 73-79

anomalies

detecting, with Azure Stream Analytics (ASA) 124-127

anomaly detection 183

anomaly detection system

creating 187-192

ARM templates 27

artificial intelligence (AI) 175

AI ethics and bias 176

Computer vision (CV) 176

expert systems 176

machine learning (ML) 175

Natural language processing (NLP) 176

Neural networks (NNs) 176

reinforcement learning (RL) 176

robotics 176

attestation 36

augmented reality (AR) 184

automated device management 65-68

Azure

ML algorithm, creating 178-181

Azure...

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Authors (1)

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Profile icon Dan Clark
LinkedIn
Dan Clark is a senior developer and data engineer specializing in Microsoft technologies. He is focused on learning new AI and data technologies and training others on how to best implement those technologies. He has worked as an Azure Technical Trainer (ATT)for Microsoft and has over 25 years of experience as a Microsoft Certified Trainer. Dan has published several books and numerous articles on Microsoft technologies. He is a regular speaker at various developer and database conferences and user group meetings and enjoys interacting with the Microsoft communities.
Read more
See other products by Dan Clark
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