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Copy file name to clipboardExpand all lines: articles/synapse-analytics/whats-new.md
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@@ -47,7 +47,7 @@ The following updates are new to Azure Synapse Analytics this month.
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An external SQL table is a schema entity that references data stored outside the Synapse Data Explorer database. Using the Create and alter SQL Server external tables command, External SQL tables can easily be added to the Synapse Data Explorer database schema.
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To learn more about managed identities, read [Managed identities overview](~/azure/data-explorer/managed-identities-overview.md).
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To learn more about managed identities, read [Managed identities overview](/azure/data-explorer/managed-identities-overview).
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To learn more about external tables, read [Create and alter SQL Server external tables](/azure/data-explorer/kusto/management/external-sql-tables.md).
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@@ -59,13 +59,13 @@ The following updates are new to Azure Synapse Analytics this month.
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To learn more about KQL, read [Kusto Query Language (KQL) overview](/azure/data-explorer/kusto/query/).
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***Azure Synapse Data Explorer connector for Microsoft Power Automate, Logic Apps, and Power Apps [Generally Available]** - The Azure Data Explorer connector for Power Automate enables you to orchestrate and schedule flows, send notifications, and alerts, as part of a scheduled or triggered task. To learn more, read [Azure Data Explorer connector for Microsoft Power Automate](~/azure/data-explorer/flow.md) and [Usage examples for Azure Data Explorer connector to Power Automate](~/azure/data-explorer/flow-usage.md).
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***Azure Synapse Data Explorer connector for Microsoft Power Automate, Logic Apps, and Power Apps [Generally Available]** - The Azure Data Explorer connector for Power Automate enables you to orchestrate and schedule flows, send notifications, and alerts, as part of a scheduled or triggered task. To learn more, read [Azure Data Explorer connector for Microsoft Power Automate](/azure/data-explorer/flow) and [Usage examples for Azure Data Explorer connector to Power Automate](/azure/data-explorer/flow-usage).
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***Dynamic events routing from event hub to multiple databases** - Routing events from Event Hub/IOT Hub/Event Grid is an activity commonly performed by Azure Data Explorer (ADX) users. Previously, you could route events only to a single database per defined connection. If you wanted to route the events to multiple databases, you needed to create multiple ADX cluster connections.
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To simplify the experience, we now support routing events data to multiple databases hosted in a single ADX cluster. To learn more about dynamic routing, read [Ingest from event hub](~/azure/data-explorer/ingest-data-event-hub-overview.md#events-routing).
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To simplify the experience, we now support routing events data to multiple databases hosted in a single ADX cluster. To learn more about dynamic routing, read [Ingest from event hub](/azure/data-explorer/ingest-data-event-hub-overview#events-routing).
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***Configure a database using a KQL inline script as part of JSON ARM deployment template** - Previously, Azure Data Explorer supported running a Kusto Query Language (KQL) script to configure your database during Azure Resource Management (ARM) template deployment. Now, this can be done using an inline script provided inline as a parameter to a JSON ARM template. To learn more about using a KQL inline script, read [Configure a database using a Kusto Query Language script](~/azure/data-explorer/database-script.md).
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***Configure a database using a KQL inline script as part of JSON ARM deployment template** - Previously, Azure Data Explorer supported running a Kusto Query Language (KQL) script to configure your database during Azure Resource Management (ARM) template deployment. Now, this can be done using an inline script provided inline as a parameter to a JSON ARM template. To learn more about using a KQL inline script, read [Configure a database using a Kusto Query Language script](/azure/data-explorer/database-script).
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