Merge pull request #300016 from baanders/digital-twin-builder-publish

denrea · web-flow · commit 1818329dc7e4 · 2025-05-20T10:49:37.000-07:00
Digital twin builder links
diff --git a/articles/digital-twins/overview.md b/articles/digital-twins/overview.md
@@ -16,7 +16,7 @@ ms.service: azure-digital-twins
 Azure Digital Twins can be used to design a digital twin architecture that represents actual IoT devices in a wider cloud solution, and which connects to [IoT Hub](../iot-hub/iot-concepts-and-iot-hub.md) device twins to send and receive live data.
 
 > [!NOTE]
-> IoT Hub **device twins** are different from Azure Digital Twins **digital twins**. While *IoT Hub device twins* are maintained by your IoT hub for each IoT device that you connect to it, *digital twins* in Azure Digital Twins can be representations of anything defined by digital models and instantiated within Azure Digital Twins. 
+> Azure Digital Twins is different from [digital twin builder (preview) in Fabric](/fabric/real-time-intelligence/digital-twin-builder/overview) and the [device twins used by IoT Hub](../iot-hub/iot-hub-devguide-device-twins.md).
 
 Take advantage of your domain expertise on top of Azure Digital Twins to build customized, connected solutions that:
 * Model any environment, and bring digital twins to life in a scalable and secure manner
diff --git a/articles/iot-operations/toc.yml b/articles/iot-operations/toc.yml
@@ -317,4 +317,7 @@ items:
       - name: IoT Glossary
         href: ../iot/iot-glossary.md?toc=/azure/iot-operations/toc.json&bc=/azure/iot-operations/breadcrumb/toc.json
         displayName: term, terminology, definition, usage
-
+      - name: Digital twin builder (preview) in Fabric
+        href: /fabric/real-time-intelligence/digital-twin-builder/overview
+        displayName: modeling, ontology, real-time, analytics
+        
diff --git a/articles/iot/iot-glossary.md b/articles/iot/iot-glossary.md
@@ -6,7 +6,7 @@ ms.author: dobett
 ms.service: azure-iot
 services: iot
 ms.topic: conceptual
-ms.date: 11/11/2024
+ms.date: 03/31/2025
 
 # Generated from YAML source.
 ---
@@ -116,6 +116,9 @@ Applies to: Azure IoT Operations
 
 A platform as a service (PaaS) offering for creating digital representations of real-world things, places, business processes, and people. Build twin graphs that represent entire environments, and use them to gain insights to drive better products, optimize operations and costs, and create breakthrough customer experiences.
 
+>[!NOTE]
+> Azure Digital Twins is different from [digital twin builder (preview) in Fabric](#digital-twin-builder-preview-in-fabric) and the [device twins](#device-twin) used by IoT Hub.
+
 [Learn more](../digital-twins/overview.md)
 
 Casing rules: Always capitalize when you're referring to the service.
@@ -471,7 +474,8 @@ Applies to: IoT Central
 
 A [device](#device) twin is JSON document that stores device state information such as metadata, [configurations](#configuration), and conditions. [IoT Hub](#iot-hub) persists a device twin for each device that you provision in your IoT hub. Device twins enable you to synchronize device conditions and configurations between the device and the [solution back end](#solution-back-end). You can query device twins to locate specific devices and for the status of long-running operations.
 
-See also [Digital twin](#digital-twin)
+>[!NOTE]
+> Device twins in IoT Hub are different from [Azure Digital Twins](#azure-digital-twins) (though they can be integrated as part of the same solution), and [digital twin builder (preview) in Fabric](#digital-twin-builder-preview-in-fabric).
 
 Casing rules: Always lowercase.
 
@@ -509,6 +513,18 @@ Casing rules: Always lowercase.
 
 Applies to: IoT Hub, IoT Central, Azure Digital Twins, Device developer
 
+### Digital twin builder (preview) in Fabric
+
+The **digital twin builder (preview)** in Microsoft Fabric is a new item within Fabric's [Real-Time Intelligence](/fabric/real-time-intelligence/) workload. It creates digital representations of real-world environments to optimize physical operations using data. It's integrated with the data storage and security options in Microsoft Fabric, and is part of a Fabric-focused solution.
+
+[Learn more](/fabric/real-time-intelligence/digital-twin-builder/overview)
+
+Casing rules: Never capitalize the name of this item, aside from using normal sentence case when it begins a sentence.
+
+Example usage: Digital twin builder (preview) is a new item within the Real-Time Intelligence workload in Microsoft Fabric. Digital twin builder creates digital representations of real-world environments to optimize physical operations using data.
+
+Applies to: Digital twin builder
+
 ### Digital twin change events
 
 When an [IoT Plug and Play device](#iot-plug-and-play-device) is connected to an [IoT hub](#iot-hub), the hub can use its routing capability to send notifications of [digital twin](#digital-twin) changes. The IoT Central data export feature can also forward digital twin change events to other services. For example, whenever a property value changes on a [device](#device), IoT Hub can send a notification to an [endpoint](#endpoint) such as an event hub.
diff --git a/articles/iot/iot-overview-analyze-visualize.md b/articles/iot/iot-overview-analyze-visualize.md
@@ -6,7 +6,7 @@ services: iot
 author: dominicbetts
 ms.author: dobett
 ms.topic: overview
-ms.date: 01/22/2025
+ms.date: 04/2/2025
 ms.custom: template-overview
 # Customer intent: As a solution builder, I want a high-level overview of the options for analyzing and visualizing device data in an IoT solution.
 ---
@@ -31,7 +31,7 @@ The following diagram shows a high-level view of the components in a typical [cl
 
 ## Azure Digital Twins
 
-The [Azure Digital Twins](../digital-twins/overview.md) service lets you build and maintain models that are live, up-to-date representations of the real world. You can query, analyze, and generate visualizations from these models to extract business insights. An example model might be a representation of a building that includes information about the rooms, the devices in the rooms, and the relationships between the rooms and devices. The real-world data that populates these models is typically collected from IoT devices and sent through an IoT hub.
+The [Azure Digital Twins](../digital-twins/overview.md) service lets you build and maintain models that are live, up-to-date representations of the real world. You can query, analyze, and generate visualizations from these models to extract business insights. An example model might be a representation of a building that includes information about the rooms, the devices in the rooms, and the relationships between the rooms and devices. The real-world data that populates these models is typically collected from IoT devices and sent through an IoT hub. 
 
 ## IoT Central
 
@@ -48,13 +48,19 @@ There are many services you can use to analyze and visualize your IoT data. Some
 
 ### Microsoft Fabric
 
-[Microsoft Fabric](/fabric/get-started/microsoft-fabric-overview) is an end-to-end analytics and data platform designed for enterprises that require a unified solution. It encompasses data movement, processing, ingestion, transformation, real-time event routing, and report building. It offers a comprehensive suite of services such as Data Science and Real-Time Analytics.
+[Microsoft Fabric](/fabric/get-started/microsoft-fabric-overview) is an end-to-end analytics and data platform designed for enterprises that require a unified solution. It encompasses data movement, processing, ingestion, transformation, real-time event routing, and report building. It offers a comprehensive suite of services such as Data Science and Real-Time Analytics. It also contains [digital twin builder (preview)](#digital-twin-builder-preview-in-fabric) for digital twin modeling in a Fabric environment.
 
 The following articles show some examples of how to use Microsoft Fabric to analyze and visualize IoT data:
 
 - [Tutorial: Get insights from your processed data](../iot-operations/end-to-end-tutorials/tutorial-get-insights.md)
 - [Tutorial: Send data from an OPC UA server to Azure Data Lake Storage Gen 2](../iot-operations/connect-to-cloud/tutorial-opc-ua-to-data-lake.md)
 
+#### Digital twin builder (preview) in Fabric
+
+[Digital twin builder (preview)](/fabric/real-time-intelligence/digital-twin-builder/overview) is a new item within the Real-Time Intelligence workload in Microsoft Fabric. It creates digital representations of real-world environments to optimize physical operations using data.
+
+For an example scenario with digital twin builder, see [Tutorial: Digital twin builder (preview)](/fabric/real-time-intelligence/digital-twin-builder/tutorial-0-introduction).
+
 ### Azure Machine Learning
 
 [Azure Machine Learning](/azure/machine-learning/overview-what-is-azure-machine-learning) is a cloud-based service for building, training, and deploying machine learning models. It provides a variety of tools and services to help you create and manage machine learning workflows. You can use Azure Machine Learning to analyze IoT data and build predictive models. On Azure Arc-enabled Kubernetes clusters, such as Azure IoT Operations, you can train and deploy machine learning models at the edge with the [Kubernetes compute target in Azure Machine Learning](/azure/machine-learning/how-to-attach-kubernetes-anywhere).
