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Copy file name to clipboardExpand all lines: articles/digital-twins/concepts-route-events.md
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@@ -22,22 +22,22 @@ This article covers **event routes** and how Azure Digital Twins uses them to se
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There are two major cases for sending Azure Digital Twins data:
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* Sending data from one twin in the Azure Digital Twins graph to another. For instance, when a property on one digital twin changes, you may want to notify and update another digital twin based on the updated data.
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* Sending data to downstream data services for more storage or processing (also known as *data egress*). For instance,
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- A hospital may want to send Azure Digital Twins event data to [Time Series Insights (TSI)](../time-series-insights/overview-what-is-tsi.md), to record time series data of handwashing-related events for bulk analytics.
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- A hospital may want to send Azure Digital Twins event data to [Time Series Insights](../time-series-insights/overview-what-is-tsi.md), to record time series data of handwashing-related events for bulk analytics.
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- A business that is already using [Azure Maps](../azure-maps/about-azure-maps.md) may want to use Azure Digital Twins to enhance their solution. They can quickly enable an Azure Map after setting up Azure Digital Twins, bring Azure Map entities into Azure Digital Twins as [digital twins](concepts-twins-graph.md) in the twin graph, or run powerful queries using their Azure Maps and Azure Digital Twins data together.
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Event routes are used for both of these scenarios.
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## About event routes
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An event route lets you send event data from digital twins in Azure Digital Twins to custom-defined endpoints in your subscriptions. Three Azure services are currently supported for endpoints: [Event Hubs](../event-hubs/event-hubs-about.md), [Event Grid](../event-grid/overview.md), and [Service Bus](../service-bus-messaging/service-bus-messaging-overview.md). Each of these Azure services can be connected to other services and acts as the middleman, sending data along to final destinations such as TSI or Azure Maps for whatever processing you need.
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An event route lets you send event data from digital twins in Azure Digital Twins to custom-defined endpoints in your subscriptions. Three Azure services are currently supported for endpoints: [Event Hubs](../event-hubs/event-hubs-about.md), [Event Grid](../event-grid/overview.md), and [Service Bus](../service-bus-messaging/service-bus-messaging-overview.md). Each of these Azure services can be connected to other services and acts as the middleman, sending data along to final destinations such as Time Series Insights or Azure Maps for whatever processing you need.
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Azure Digital Twins implements **at least once** delivery for data emitted to egress services.
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The following diagram illustrates the flow of event data through a larger IoT solution with an Azure Digital Twins aspect:
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:::image type="content" source="media/concepts-route-events/routing-workflow.png" alt-text="Diagram of Azure Digital Twins routing data through endpoints to several downstream services." border="false":::
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Typical downstream targets for event routes are resources like TSI, Azure Maps, storage, and analytics solutions.
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Typical downstream targets for event routes are resources like Time Series Insights, Azure Maps, storage, and analytics solutions.
Copy file name to clipboardExpand all lines: articles/digital-twins/overview.md
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* Models define semantic **relationships** between your entities so that you can connect your twins into a graph that reflects their interactions. You can think of the models as nouns in a description of your world, and the relationships as verbs.
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* You can also specialize twins using model inheritance. One model can inherit from another.
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DTDL is used for data models throughout other Azure IoT services, including [IoT Plug and Play](../iot-develop/overview-iot-plug-and-play.md) and [Time Series Insights (TSI)](../time-series-insights/overview-what-is-tsi.md). This type of commonality helps you keep your Azure Digital Twins solution connected and compatible with other parts of the Azure ecosystem.
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DTDL is used for data models throughout other Azure IoT services, including [IoT Plug and Play](../iot-develop/overview-iot-plug-and-play.md) and [Time Series Insights](../time-series-insights/overview-what-is-tsi.md). This type of commonality helps you keep your Azure Digital Twins solution connected and compatible with other parts of the Azure ecosystem.
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### Live execution environment
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You can also drive Azure Digital Twins from other data sources, using REST APIs or connectors to other services like [Logic Apps](../logic-apps/logic-apps-overview.md).
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### Output to ADX, TSI, storage, and analytics
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### Output to ADX, Time Series Insights, storage, and analytics
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The data in your Azure Digital Twins model can be routed to downstream Azure services for more analytics or storage. This functionality is provided through **event routes**, which use [Event Hubs](../event-hubs/event-hubs-about.md), [Event Grid](../event-grid/overview.md), or [Service Bus](../service-bus-messaging/service-bus-messaging-overview.md) to drive your data flows.
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Some things you can do with event routes include:
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* Sending digital twin data to ADX for querying with the [Azure Digital Twins query plugin for Azure Data Explorer (ADX)](concepts-data-explorer-plugin.md)
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*[Connecting Azure Digital Twins to Time Series Insights (TSI)](how-to-integrate-time-series-insights.md) to track time series history of each twin
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*[Connecting Azure Digital Twins to Time Series Insights](how-to-integrate-time-series-insights.md) to track time series history of each twin
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* Aligning a Time Series Model in Time Series Insights with a source in Azure Digital Twins
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* Storing Azure Digital Twins data in [Azure Data Lake](../storage/blobs/data-lake-storage-introduction.md)
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* Analyzing Azure Digital Twins data with [Azure Synapse Analytics](../synapse-analytics/sql-data-warehouse/sql-data-warehouse-overview-what-is.md), or other Microsoft data analytics tools
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