What this book covers
Chapter 1, About Digital Twins, explores the concept of a digital twin.
Chapter 2, Requirements and Installation, goes over all the requirements, services, and tools to get up and running with the Azure Digital Twins service.
Chapter 3, Digital Twin Definition Model, discusses and describes each of the metamodels as part of the digital twin definition model.
Chapter 4, Understanding Models, covers models and how to manage them by creating, updating, and removing models.
Chapter 5, Model Elements, discusses several model elements, such as properties, telemetry, and components.
Chapter 6, Creating Relationships between Azure Digital Twin Models, explores the concept of relationships between digital twins and how we can create and delete them.
Chapter 7, Querying Digital Twins, explains the query language and executing different types of queries to retrieve data from an Azure Digital Twins instance.
Chapter 8, Building Models Using Ontologies, explains how to use ontologies – predefined sets of models – to provision a digital twin solution more quickly.
Chapter 9, APIs and SDKs, looks at the differences between APIs and SDKs and how to manage and control Azure Digital Twins instances using the REST API.
Chapter 10, Building a Digital Twin Pipeline, offers a guide to get data into a model by building a pipeline using several Azure services.
Chapter 11, Updating the Model, continues extending the pipeline by getting sensor data from demo sensors in Azure Service Bus.
Chapter 12, Event Routing, goes into more detail about how to send data to other services. We will learn about how notifications are triggered and messages are routed to endpoints.
Chapter 13, Setting Up Azure Maps, goes through setting up the Azure Maps service, which allows us to visualize data on top of a map.
Chapter 14, Integrating Azure Maps, looks at integrating the setup of Azure Maps with the Azure Digital Twins instance using several Azure services.
Chapter 15, Monitoring and Troubleshooting, discusses how to leverage an Azure Log Analytics workspace and diagnostic settings to monitor and troubleshoot our Azure Digital Twin instance.
Chapter 16, Facility of the Future, shows with an example how insights can contribute to different processes and roles within an organization by using an Azure digital twin.
Chapter 17, Creating Digital Twins for Smart Building, shows how an Azure digital twin is used with the smart building concept to automate and control a building's ecosystem.
Chapter 18, Simulations Using a Digital Twin, provides a better understanding of what simulation is and how simulation can benefit from an Azure digital twin.
