Book Image

The Azure IoT Handbook

By : Dan Clark
Book Image

The Azure IoT Handbook

By: Dan Clark

Overview of this book

With the rise of cloud-based computing, deploying IoT systems has become more cost-effective for businesses. This transformation has led to developers and architects shouldering the responsibility of creating, managing, and securing these systems, even if they are new to the IoT technology. The Azure IoT Handbook is a comprehensive introduction to quickly bring you up to speed in this rapidly evolving landscape. Starting with the basic building blocks of any IoT system, this book guides you through mobile device management and data collection using an IoT hub. You’ll explore essential tools for system security and monitoring. Following data collection, you’ll delve into real-time data analytics using Azure Stream Analytics and view real-time streaming on a Power BI dashboard. Packed with real-world examples, this book covers common IoT use as well. By the end of this IoT book, you’ll know how to design and develop IoT solutions leveraging intelligent edge-to-cloud technologies implemented on Azure.
Table of Contents (18 chapters)
1
Part 1: Capturing Data from Remote Devices
7
Part 2: Processing the Data
12
Part 3: Processing the Data

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...