edit pass: azure-data-factory-quickstarts

ShawnJackson · ShawnJackson · commit a7dd03a484a7 · 2025-04-04T16:12:33.000-05:00
diff --git a/articles/data-factory/data-flow-create.md b/articles/data-factory/data-flow-create.md
@@ -13,15 +13,15 @@ ms.date: 02/13/2025
 
 [!INCLUDE[appliesto-adf-asa-md](includes/appliesto-adf-asa-md.md)]
 
-A mapping data flow provides a way to transform data at scale without any coding required. You can design a data transformation job in the data flow designer by constructing a series of transformations. Start with any number of source transformations, followed by data transformation steps. Then, complete your data flow with a sink to land your results in a destination.
-
 [!INCLUDE[data-flow-preamble](includes/data-flow-preamble.md)]
 
+A mapping data flow provides a way to transform data at scale without any coding required. You can design a data transformation job in the data flow designer by constructing a series of transformations. Start with any number of source transformations, followed by data transformation steps. Then, complete your data flow with a sink to land your results in a destination.
+
 ## Steps to create a new data flow
 
 # [Azure Data Factory](#tab/data-factory)
 
-1. [Create a new data factory by using the Azure portal](quickstart-create-data-factory-portal.md).
+1. [Create a new V2 data factory by using the Azure portal](quickstart-create-data-factory-portal.md).
 
 1. In the portal, go to your data factory. Select **Overview**, and then select the **Open Azure Data Factory Studio** tile.
 
@@ -31,7 +31,7 @@ A mapping data flow provides a way to transform data at scale without any coding
 
    :::image type="content" source="media/data-flow-create/open-template-gallery-from-data-factory.png" alt-text="Screenshot that shows selections for opening the template gallery in Azure Data Factory Studio.":::
 
-1. Under **Categories**, select the **Data flow** category to choose from the available templates.
+1. Filter by the **Data flow** category to choose from the available templates.
 
    :::image type="content" source="media/data-flow-create/template-gallery-filtered-for-data-flow.png" alt-text="Screenshot that shows the template gallery filtered for data flows.":::
 
@@ -51,7 +51,7 @@ You can also add data flows directly to your data factory without using a templa
 
    :::image type="content" source="media/data-flow-create/open-template-gallery-from-synapse.png" alt-text="Screenshot that shows selections for opening the template gallery in Azure Synapse Analytics Studio.":::
 
-1. For **Category**, select **Data flow** to choose from the available templates.
+1. Filter by the **Data flow** category to choose from the available templates.
 
    :::image type="content" source="media/data-flow-create/synapse-template-gallery-filtered-for-data-flow.png" alt-text="Screenshot that shows the template gallery filtered for data flows.":::
 
diff --git a/articles/data-factory/includes/data-flow-preamble.md b/articles/data-factory/includes/data-flow-preamble.md
@@ -6,4 +6,4 @@ ms.date: 10/20/2023
 ms.author: susabat
 ms.reviewer: whhender
 ---
-Data flows are available in both Azure Data Factory pipelines and Azure Synapse Analytics pipelines. This article applies to mapping data flows. If you're new to transformations, refer to the introductory article [Transform data using a mapping data flow](../tutorial-data-flow.md).
+Data flows are available in both Azure Data Factory pipelines and Azure Synapse Analytics pipelines. This article applies to mapping data flows. If you're new to transformations, refer to the introductory article [Transform data using mapping data flows](../tutorial-data-flow.md).
diff --git a/articles/data-factory/quickstart-create-data-factory.md b/articles/data-factory/quickstart-create-data-factory.md
@@ -34,7 +34,7 @@ By using Azure Data Factory Studio, you can create a data factory in seconds:
 
    :::image type="content" source="media/quickstart-create-data-factory/create-with-azure-data-factory-studio.png" alt-text="Screenshot that shows the Azure Data Factory Studio page for creating a data factory.":::
 
-After you create a data factory, you go to it from the home page of Azure Data Factory Studio.
+After you create a data factory, you can go to it from the home page of Azure Data Factory Studio.
 
    :::image type="content" source="media/quickstart-create-data-factory/azure-data-factory-studio-home-page.png" alt-text="Screenshot that shows the Azure Data Factory Studio page for a created data factory.":::
 
@@ -54,15 +54,15 @@ When you use the Azure portal to create a data factory, the creation options are
    - Select an existing resource group from the dropdown list.
    - Select **Create new**, and then enter the name of a new resource group.
 
-   To learn about resource groups, see [What is a resource group?](../azure-resource-manager/management/overview.md#what-is-a-resource-group).
+   To learn about resource groups, see [What is a resource group?](../azure-resource-manager/management/overview.md#resource-groups).
 
 1. For **Region**, select the location for the data factory.
 
    The list shows only locations that Data Factory supports, and where your Data Factory metadata will be stored. The associated data stores (like Azure Storage and Azure SQL Database) and computes (like Azure HDInsight) that Data Factory uses can run in other regions.
 
 1. For **Name**, enter **ADFTutorialDataFactory**.
 
-   The name of the Azure data factory must be *globally unique*. If you see the following error, change the name of the data factory (for example, to **\<yourname\>ADFTutorialDataFactory**) and try creating it again. To learn about naming rules for Data Factory artifacts, see [Data Factory naming rules](naming-rules.md).
+   The name of the data factory must be *globally unique*. If you see the following error, change the name of the data factory (for example, to **\<yourname\>ADFTutorialDataFactory**) and try creating it again. To learn about naming rules for Data Factory artifacts, see [Data Factory naming rules](naming-rules.md).
 
    :::image type="content" source="./media/doc-common-process/name-not-available-error.png" alt-text="Screenshot that shows an error for a new data factory that indicates a duplicate name.":::
 
@@ -82,4 +82,4 @@ When you use the Azure portal to create a data factory, the creation options are
 ## Related content
 
 - Learn how to [use Azure Data Factory to copy data from one location to another](quickstart-hello-world-copy-data-tool.md).
-- Learn how to [create a data flow with Azure Data Factory](data-flow-create.md).
+- Learn how to [create a data flow by using Azure Data Factory](data-flow-create.md).
diff --git a/articles/data-factory/quickstart-get-started.md b/articles/data-factory/quickstart-get-started.md
@@ -31,7 +31,7 @@ The following video provides a walkthrough of the sample in this article:
 
 ## Step 1: Use the demo to create resources
 
-In this demo scenario, you use the [copy activity](copy-activity-overview.md) in a data factory to copy a blob named moviesDB2.csv from an input folder on Azure Blob Storage to an output folder. In a real-world scenario, this copy operation could be between any of the many supported data sources and sinks available in the service. It could also involve transformations in the data.
+In this demo scenario, you use the [copy activity](copy-activity-overview.md) in a data factory to copy a blob named moviesDB2.csv from an input folder in Azure Blob Storage to an output folder. In a real-world scenario, this copy operation could be between any of the many supported data sources and sinks available in the service. It could also involve transformations in the data.
 
 1. Select the following button.
 
@@ -89,7 +89,7 @@ All the resources in this demo are created in the new resource group, so you can
 
 ## Step 3: Trigger the demo pipeline to run
 
-1. Select **Add Trigger**, and then select **Trigger now**.
+1. Select **Add trigger**, and then select **Trigger now**.
 
    :::image type="content" source="media/quickstart-get-started/trigger-now.png" alt-text="Screenshot of the button for the triggering the demo pipeline to run.":::
 1. On the right pane, under **Pipeline run**, select **OK**.
diff --git a/articles/data-factory/quickstart-hello-world-copy-data-tool.md b/articles/data-factory/quickstart-hello-world-copy-data-tool.md
@@ -14,7 +14,7 @@ ms.custom: mode-other
 
 [!INCLUDE[appliesto-adf-xxx-md](includes/appliesto-adf-xxx-md.md)]
 
-In this quickstart, you use the Copy Data tool in Azure Data Factory Studio to create a pipeline that copies data from the source folder in Azure Blob Storage to a target folder.
+In this quickstart, you use the Copy Data tool in Azure Data Factory Studio to create a pipeline that copies data from a source folder in Azure Blob Storage to a target folder.
 
 ## Prerequisites
 
@@ -94,9 +94,9 @@ The Copy Data tool has five pages that walk you through the task of copying data
 
 ### Step 3: Complete destination configuration
 
-1. On the **Target** page of the Copy Data tool, for **connection**, select the **AzureBlobStorage** connection that you created.
+1. On the **Target** page of the Copy Data tool, for **Connection**, select the **AzureBlobStorage** connection that you created.
 
-1. In the **Folder path** section,  enter **adftutorial/output**.
+1. In the **Folder path** section, enter **adftutorial/output**.
 
    :::image type="content" source="./media/quickstart-hello-world-copy-data-tool/destination-data-store.png" alt-text="Screenshot that shows settings for a destination data store.":::
 
@@ -129,7 +129,7 @@ After you finish copying the data, you can monitor the pipeline that you created
 
    :::image type="content" source="./media/quickstart-hello-world-copy-data-tool/refresh-pipeline.png" alt-text="Screenshot that shows the button for refreshing the list of pipelines.":::
 
-1. On the page that shows the details of the activity run, select the **Details** link (eyeglasses icon) in the **Activity name** column for more details about copy operation. For information about the properties, see the [overview article about the copy activity](copy-activity-overview.md).
+1. On the page that shows the details of the activity run, select the **Details** link (eyeglasses icon) in the **Activity name** column for more details about the copy operation. For information about the properties, see the [overview article about the copy activity](copy-activity-overview.md).
 
 ## Related content
 
diff --git a/articles/data-factory/quickstart-learn-modules.md b/articles/data-factory/quickstart-learn-modules.md
@@ -1,6 +1,6 @@
 ---
 title: Summary of Introductory Training Modules
-description: Learn about introductory training modules that can help you quickly get started with Aure Data Factory.
+description: Learn about introductory training modules that can help you quickly get started with Azure Data Factory.
 author: whhender
 ms.topic: concept-article
 ms.date: 02/13/2025
@@ -37,6 +37,6 @@ This module introduces you to the details of ingestion methods in Azure Data Fac
 - [Quickstart: Get started with Azure Data Factory](quickstart-get-started.md)
 - [Quickstart: Create a data factory by using the Azure portal](quickstart-create-data-factory-portal.md)
 - [Quickstart: Use the Copy Data tool in Azure Data Factory Studio to copy data](quickstart-hello-world-copy-data-tool.md)
-- [Quickstart: Create an Azure Data Factory by using an ARM template](quickstart-create-data-factory-resource-manager-template.md)
+- [Quickstart: Create an Azure data factory by using an ARM template](quickstart-create-data-factory-resource-manager-template.md)
 - [Quickstart: Create a mapping data flow in Azure Data Factory and Azure Synapse Analytics](data-flow-create.md)
 - [All training modules for Azure Data Factory](/training/browse/?filter-products=fact&products=azure-data-factory)
