Book Image

Hands-On Azure Digital Twins

By : Alexander Meijers
Book Image

Hands-On Azure Digital Twins

By: Alexander Meijers

Overview of this book

In today’s world, clients are using more and more IoT sensors to monitor their business processes and assets. Think about collecting information such as pressure in an engine, the temperature, or a light switch being turned on or off in a room. The data collected can be used to create smart solutions for predicting future trends, creating simulations, and drawing insights using visualizations. This makes it beneficial for organizations to make digital twins, which are digital replicas of the real environment, to support these smart solutions. This book will help you understand the concept of digital twins and how it can be implemented using an Azure service called Azure Digital Twins. Starting with the requirements and installation of the Azure Digital Twins service, the book will explain the definition language used for modeling digital twins. From there, you'll go through each step of building digital twins using Azure Digital Twins and learn about the different SDKs and APIs and how to use them with several Azure services. Finally, you'll learn how digital twins can be used in practice with the help of several real-world scenarios. By the end of this book, you'll be confident in building and designing digital twins and integrating them with various Azure services.
Table of Contents (25 chapters)
1
Section 1: Azure Digital Twin Essentials
4
Section 2: Getting Started with Azure Digital Twins
11
Section 3: Digital Twins Advanced Techniques
19
Section 4: Digital Twin Implementations in Real-world Scenarios

Complex schemas

Complex schemas allow us to model more complex data types that are based on primitive data types, as mentioned by the primitive schemas. These complex data types support recursive up to five levels deep. The following complex schemas are available:

  • Object
  • Enum
  • Array
  • Map

Complex schemas have required and optional properties. Required properties are properties that define, in most cases, the purpose of the complex schema, while optional properties provide additional information that describes the complex schema in more detail:

Table 7

Each of these complex schemas will be described here, and their required properties will be explained.

Field

Fields are the basic data types for building a meta model using the complex Object schema type. A field data type describes a named field in an Object. A field has required properties called name and schema. The name property describes the name of the field, while the schema property...