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

Exploring IoT Edge Computing

In the ever-evolving landscape of technology, the Internet of Things (IoT) has emerged as a transformative force, connecting devices, sensors, and systems to enable seamless communication and data exchange. However, as the IoT continues to expand, it faces several challenges, including latency, bandwidth limitations, security concerns, and the sheer volume of data generated. To address these obstacles and unlock the true potential of the IoT, a revolutionary approach has emerged: IoT Edge computing.

In this chapter, we delve into the realm of IoT Edge computing, where intelligence and processing capabilities are pushed closer to the network edge. Rather than solely relying on cloud-based servers for data analysis and decision-making, IoT Edge computing brings computation, storage, and analytics closer to the devices and sensors themselves. By doing so, it empowers organizations and individuals to harness real-time insights, make timely decisions, and...