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 Azure Stream Analytics

Azure Stream Analytics (ASA) is a stream processing engine that is intended to analyze and process large volumes of streaming data with sub-millisecond latencies. It includes a robust SQL-like query language that you can use to query your streaming data to detect anomalies, aggregate data over different time windows, and perform geospatial analysis for moving sensors.

In this chapter, you will learn how to incorporate this vital tool as part of your stream processing. To fully comprehend how Stream Analytics processes data, we will dissect its inputs and outputs. We’ll uncover how data is ingested from an IoT device and transformed into actionable insights, allowing organizations to react swiftly to changing conditions.

As we venture further into the world of Stream Analytics, we’ll acquaint ourselves with the Stream Analytics query language. This language serves as the backbone of the system, providing a robust toolkit for filtering...