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

Stream Analytics query language

ASQL simplifies the process of defining and executing real-time data processing logic on streaming data. Its SQL-like syntax, along with stream-specific constructs, enables developers and data engineers to perform complex analytics, transformations, and aggregations on streaming data with ease.

Here are some key features and concepts of ASQL:

  • Input and output sources: ASQL allows you to define input sources, such as event hubs or IoT hubs, from which streaming data is ingested. You can specify the schema of the incoming data and define output sinks, such as Azure Blob Storage or Azure SQL Database, to store or forward the processed data.
  • Query structure: ASQL queries typically follow a structure similar to SQL SELECT statements. However, ASQL queries operate on an infinite, unbounded stream of data, rather than discrete tables. The data is processed in an event-driven and continuous manner.
  • Windowing: ASQL supports various windowing...