Clarify region support

Author: PatAltimore

articles/iot-operations/connect-to-cloud/howto-create-dataflow.md

@@ -64,7 +64,7 @@ spec:
 
 | Name                        | Description                                                                |
 |-----------------------------|----------------------------------------------------------------------------|
-| profileRef                  | Reference to the [data flow profile](howto-configure-data flow-profile.md)           |
+| profileRef                  | Reference to the [data flow profile](howto-configure-dataflow-profile.md)           |
 | mode                        | Mode of the data flow. *enabled* or *disabled*                              |
 | operations[]                | Operations performed by the data flow                                       |
 | operationType               | Type of operation. *source*, *destination*, or *builtInTransformation*     |

articles/iot-operations/connect-to-cloud/overview-dataflow.md

@@ -1,38 +1,40 @@
 ---
-title: Process and route data with dataflows
-description: Learn about dataflows and how to process and route data in Azure IoT Operations.
+title: Process and route data with data flows
+description: Learn about data flows and how to process and route data in Azure IoT Operations.
 author: PatAltimore
 ms.author: patricka
 ms.subservice: azure-data-flows
 ms.topic: conceptual
 ms.date: 08/03/2024
 
-#CustomerIntent: As an operator, I want to understand how to I can use dataflows connect data sources.
+#CustomerIntent: As an operator, I want to understand how to I can use data flows connect data sources.
 ---
 
-# Process and route data with dataflows
+# Process and route data with data flows
 
 [!INCLUDE [public-preview-note](../includes/public-preview-note.md)]
 
-Dataflows allow you to connect various data sources and perform data operations, simplifying the setup of data paths to move, transform, and enrich data. The dataflow component is part of Azure IoT Operations, deployed as an Arc-extension. The configuration for a dataflow is done via Kubernetes Custom Resource Definitions (CRDs).
+Data flows allow you to connect various data sources and perform data operations, simplifying the setup of data paths to move, transform, and enrich data. The data flow component is part of Azure IoT Operations, deployed as an Arc-extension. The configuration for a data flow is done via Kubernetes Custom Resource Definitions (CRDs).
 
 You can write configurations for various use cases, such as:
 
 - Transform data and send it back to MQTT
 - Transform data and send it to the cloud
 - Send data to the cloud or edge without transformation
 
-## Key Features
+Data flows are not limited to the region where the Azure IoT Operations instance is deployed. You can use data flows to send data to any cloud endpoint in any region.
 
-### Data Processing and Routing
+## Key features
 
-Dataflows enable the ingestion, processing, and the routing of the messages to specified sinks. You can specify:
+### Data processing and routing
+
+Data flows enable the ingestion, processing, and the routing of the messages to specified sinks. You can specify:
 
 - **Sources:** Where messages are ingested from
 - **Destinations:** Where messages are drained to
 - **Transformations (optional):** Configuration for data processing operations
 
-### Transformation Capabilities
+### Transformation capabilities
 
 Transformations can be applied to data during the processing stage to perform various operations. These operations can include:
 
@@ -42,9 +44,9 @@ Transformations can be applied to data during the processing stage to perform va
 - **Standardize values:** Scale property values to a user-defined range
 - **Contextualize data:** Add reference data to messages for enrichment and driving insights
 
-### Configuration and Deployment
+### Configuration and deployment
 
-The configuration is specified using Kubernetes CRDs. Based on this configuration, the dataflow operator creates dataflow instances, ensuring high availability and reliability.
+The configuration is specified using Kubernetes CRDs. Based on this configuration, the data flow operator creates data flow instances, ensuring high availability and reliability.
 
 ## Benefits
 
@@ -53,10 +55,10 @@ The configuration is specified using Kubernetes CRDs. Based on this configuratio
 - **Scalable Configuration:** Use Kubernetes CRDs for scalable and manageable configurations
 - **High Availability:** Kubernetes native resource ensures reliability
 
-By using dataflows, you can efficiently manage your data paths, ensuring data is accurately sent, transformed, and enriched to meet your operational needs.
+By using data flows, you can efficiently manage your data paths, ensuring data is accurately sent, transformed, and enriched to meet your operational needs.
 
 ## Related content
 
-- [Quickstart: Send asset telemetry to the cloud using a dataflow](../get-started-end-to-end-sample/quickstart-upload-telemetry-to-cloud.md)
-- [Create a dataflow](howto-create-dataflow.md)
-- [Create a dataflow endpoint](howto-configure-dataflow-endpoint.md)
+- [Quickstart: Send asset telemetry to the cloud using a data flow](../get-started-end-to-end-sample/quickstart-upload-telemetry-to-cloud.md)
+- [Create a data flow](howto-create-dataflow.md)
+- [Create a data flow endpoint](howto-configure-dataflow-endpoint.md)

articles/iot-operations/toc.yml

@@ -85,7 +85,7 @@ items:
         href: connect-to-cloud/howto-configure-dataflow-endpoint.md
       - name: Create a data flow
         href: connect-to-cloud/howto-create-dataflow.md
-      - name: Configure data flow profile
+      - name: Configure a data flow profile
         href: connect-to-cloud/howto-configure-dataflow-profile.md
     - name: Manage layered network
       items: