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added note to 2-4 tutorials about provisioning
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articles/digital-twins/tutorial-facilities-analyze.md

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- The [Digital Twins C# samples](https://github.com/Azure-Samples/digital-twins-samples-csharp) downloaded and extracted on your work machine.
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- [.NET Core SDK version 2.1.403 or later](https://www.microsoft.com/net/download) on your development machine to run the sample. Run `dotnet --version` to verify that the right version is installed.
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> [!TIP]
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> Use a unique Digital Twins instance name if you're provisioning a new instance.
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## Stream data by using Event Hubs
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You can use the [Event Hubs](../event-hubs/event-hubs-about.md) service to create a pipeline to stream your data. This section shows you how to create your event hub as the connector between your Azure Digital Twins and Time Series Insights instances.

articles/digital-twins/tutorial-facilities-events.md

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- [.NET Core SDK version 2.1.403 or later](https://www.microsoft.com/net/download) on your development machine to run the sample. Run `dotnet --version` to verify that the right version is installed.
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- An Office 365 account to send notification e-mails.
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> [!TIP]
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> Use a unique Digital Twins instance name if you're provisioning a new instance.
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## Integrate events with Event Grid
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In this section, you set up [Event Grid](../event-grid/overview.md) to collect events from your Azure Digital Twins instance, and redirect them to an [event handler](../event-grid/event-handlers.md) such as Logic Apps.

articles/digital-twins/tutorial-facilities-udf.md

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- [.NET Core SDK version 2.1.403 or later](https://www.microsoft.com/net/download) on your development machine to build and run the sample. Run `dotnet --version` to verify that the right version is installed.
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- [Visual Studio Code](https://code.visualstudio.com/) to explore the sample code.
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> [!TIP]
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> Use a unique Digital Twins instance name if you're provisioning a new instance.
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## Define conditions to monitor
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You can define a set of specific conditions to monitor in the device or sensor data, called *matchers*. You can then define functions called *user-defined functions*. User-defined functions execute custom logic on data that comes from your spaces and devices, when the conditions specified by the matchers occur. For more information, read [Data processing and user-defined functions](concepts-user-defined-functions.md).

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