Merge pull request #298497 from whhender/resolving-data-flow-tutorial

Resolving out of date 'create data factory' steps across articles

Author: v-dirichards

articles/data-factory/media/doc-common-process/new-azure-data-factory-menu.png

@@ -37,7 +37,7 @@ If you don't have an Azure subscription, create a [free account](https://azure.m
 
 1. Launch **Microsoft Edge** or **Google Chrome** web browser. Currently, Data Factory UI is supported only in Microsoft Edge and Google Chrome web browsers.
 
-1. Select **Create a resource** on the Azure portal menu, select **Integration**, and then select **Data Factory**.
+1. Select **Create a resource** on the Azure portal menu, then select **Analytics** > **Data Factory** :
 
     :::image type="content" source="./media/doc-common-process/new-azure-data-factory-menu.png" alt-text="Screenshot showing Data Factory selection in the New pane.":::
 

articles/data-factory/media/tutorial-control-flow-portal/create-resource.png

@@ -54,7 +54,7 @@ To verify and turn on this setting, go to your server > Security > Firewalls and
 
 1. Launch **Microsoft Edge** or **Google Chrome** web browser. Currently, Data Factory UI is supported only in Microsoft Edge and Google Chrome web browsers.
 1. Go to the [Azure portal](https://portal.azure.com). 
-1. On the left of the Azure portal menu, select **Create a resource** > **Integration** > **Data Factory**. 
+1. On the top menu, select **Create a resource** > **Analytics** > **Data Factory** :
 
    :::image type="content" source="./media/doc-common-process/new-azure-data-factory-menu.png" alt-text="Data Factory selection in the "New" pane":::
 1. On the **New data factory** page, enter **ADFTutorialBulkCopyDF** for **name**. 

articles/data-factory/transform-data-using-databricks-notebook.md

@@ -121,11 +121,9 @@ https://prodxxx.eastus.logic.azure.com:443/workflows/000000/triggers/manual/path
 ## Create a data factory
 
 1. Launch **Microsoft Edge** or **Google Chrome** web browser. Currently, Data Factory UI is supported only in Microsoft Edge and Google Chrome web browsers.
-1. Expand the menu at the top left and select **Create a resource**.  Then select > **Integration** > **Data Factory**:
+1. Expand the menu at the top left and select **Create a resource**.  Then select **Analytics** > **Data Factory** :
 
-   :::image type="content" source="./media/tutorial-control-flow-portal/create-resource.png" alt-text="Shows a screenshot of the "Create a resource" button in the Azure portal.":::
-
-   :::image type="content" source="./media/tutorial-control-flow-portal/new-azure-data-factory-menu.png" alt-text="Shows a screenshot of the Data Factory selection in the "New" pane.":::
+   :::image type="content" source="./media/doc-common-process/new-azure-data-factory-menu.png" alt-text="Shows a screenshot of the Data Factory selection in the "New" pane.":::
 
 1. In the **New data factory** page, enter **ADFTutorialDataFactory** for the **name**.
 

articles/data-factory/tutorial-bulk-copy-portal.md

@@ -72,7 +72,7 @@ Prepare your Blob storage and your SQL Database for the tutorial by performing t
 
 ## Create a data factory
 
-1. On the left menu, select **Create a resource** > **Integration** > **Data Factory**:
+1. On the top menu, select **Create a resource** > **Analytics** > **Data Factory** :
 
    :::image type="content" source="./media/doc-common-process/new-azure-data-factory-menu.png" alt-text="Screenshot of the New data factory creation.":::
 

articles/data-factory/tutorial-control-flow-portal.md

@@ -5,8 +5,8 @@ author: kromerm
 ms.author: makromer
 ms.reviewer: makromer
 ms.subservice: data-flows
-ms.topic: conceptual
-ms.date: 02/13/2025
+ms.topic: tutorial
+ms.date: 04/18/2025
 ---
 
 # Transform data using mapping data flows
@@ -17,9 +17,9 @@ If you're new to Azure Data Factory, see [Introduction to Azure Data Factory](in
 
 In this tutorial, you'll use the Azure Data Factory user interface (UX) to create a pipeline that copies and transforms data from an Azure Data Lake Storage (ADLS) Gen2 source to an ADLS Gen2 sink using mapping data flow. The configuration pattern in this tutorial can be expanded upon when transforming data using mapping data flow
 
- >[!NOTE]
-   >This tutorial is meant for mapping data flows in general. Data flows are available both in Azure Data Factory and Synapse Pipelines. If you are new to data flows in Azure Synapse Pipelines, please follow [Data Flow using Azure Synapse Pipelines](../synapse-analytics/concepts-data-flow-overview.md) 
-   
+>[!NOTE]
+>This tutorial is meant for mapping data flows in general. Data flows are available both in Azure Data Factory and Synapse Pipelines. If you are new to data flows in Azure Synapse Pipelines, please follow [Data Flow using Azure Synapse Pipelines](../synapse-analytics/concepts-data-flow-overview.md) 
+
 In this tutorial, you do the following steps:
 
 > [!div class="checklist"]
@@ -30,6 +30,7 @@ In this tutorial, you do the following steps:
 > * Monitor a Data Flow activity
 
 ## Prerequisites
+
 * **Azure subscription**. If you don't have an Azure subscription, create a [free Azure account](https://azure.microsoft.com/free/) before you begin.
 * **Azure storage account**. You use ADLS storage as a *source* and *sink* data stores. If you don't have a storage account, see [Create an Azure storage account](../storage/common/storage-account-create.md) for steps to create one.
 
@@ -40,7 +41,7 @@ The file that we are transforming in this tutorial is MoviesDB.csv, which can be
 In this step, you create a data factory and open the Data Factory UX to create a pipeline in the data factory.
 
 1. Open **Microsoft Edge** or **Google Chrome**. Currently, Data Factory UI is supported only in the Microsoft Edge and Google Chrome web browsers.
-2. On the left menu, select **Create a resource** > **Integration** > **Data Factory**:
+2. On the top menu, select **Create a resource** > **Analytics** > **Data Factory** :
 
    :::image type="content" source="./media/doc-common-process/new-azure-data-factory-menu.png" alt-text="Data Factory selection in the "New" pane":::
 

articles/data-factory/tutorial-copy-data-tool.md

@@ -81,7 +81,7 @@ You use the name and key of your storage account in this tutorial. To get the na
 
 ## Create a data factory
 
-1. On the menu on the left, select **Create a resource** > **Integration** > **Data Factory**.
+1. On the top menu, select **Create a resource** > **Analytics** > **Data Factory** :
 
    :::image type="content" source="./media/doc-common-process/new-azure-data-factory-menu.png" alt-text="New data factory creation":::
 

articles/data-factory/tutorial-data-flow.md

@@ -100,7 +100,7 @@ In this section, you create a blob container named **adftutorial** in your Blob
 In this step, you create a data factory and start the Data Factory UI to create a pipeline in the data factory.
 
 1. Open the **Microsoft Edge** or **Google Chrome** web browser. Currently, Data Factory UI is supported only in Microsoft Edge and Google Chrome web browsers.
-1. On the left menu, select **Create a resource** > **Integration** > **Data Factory**:
+1. On the top menu, select **Create a resource** > **Analytics** > **Data Factory** :
 
    :::image type="content" source="./media/doc-common-process/new-azure-data-factory-menu.png" alt-text="Data Factory selection in the "New" pane":::
 

articles/data-factory/tutorial-hybrid-copy-data-tool.md

@@ -126,7 +126,7 @@ In this tutorial, you create two pipelines that perform the following operations
 
 1. Open the Microsoft Edge or Google Chrome web browser. Currently, only these browsers support the Data Factory user interface (UI).
 1. In the [Azure portal](https://ms.portal.azure.com/), on the left menu, select **Create a resource**.
-1. Select **Integration** > **Data Factory**.
+1. Select **Analytics** > **Data Factory** :
 
     ![Screenshot that shows selection of a data factory in creating a resource.](media/tutorial-incremental-copy-change-tracking-feature-portal/new-azure-data-factory-menu.png)
 1. On the **New data factory** page, enter **ADFTutorialDataFactory** for the name.