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

In this chapter, you were introduced to ADX, which is an excellent tool to use when exploring and analyzing the data collected from IoT devices. With the proliferation of IoT devices in various industries, there is an immense amount of data being generated, and the ability to extract valuable insights from this data is crucial.

The chapter began by introducing ADX and explaining its role in handling large volumes of streaming data. It highlighted ADX’s capabilities in ingesting, storing, and querying data in real time, making it suitable for scenarios involving IoT devices, log analytics, and other streaming data sources. Next, the chapter dug into the process of ingesting streaming data into ADX. It provided guidance on configuring data ingestion pipelines.

Another crucial aspect of streaming data analysis is data visualization, and the chapter explored how ADX enables users to create compelling visual representations of their data. To provide you with hands-on...