Merge pull request #223810 from jonburchel/2023-01-11-Q1-freshness-update

BCS2022 · web-flow · commit 168c04177406 · 2023-01-12T12:46:05.000-08:00
Freshness updates, part 1
diff --git a/articles/data-factory/concepts-data-flow-column-pattern.md b/articles/data-factory/concepts-data-flow-column-pattern.md
@@ -9,7 +9,7 @@ ms.service: data-factory
 ms.subservice: data-flows
 ms.custom: synapse
 ms.topic: conceptual
-ms.date: 11/23/2021
+ms.date: 01/11/2023
 ---
 
 # Using column patterns in mapping data flow
@@ -34,7 +34,7 @@ Use the [expression builder](concepts-data-flow-expression-builder.md) to enter
 
 :::image type="content" source="media/data-flow/edit-column-pattern.png" alt-text="Screenshot shows the Derived column's settings tab.":::
 
-The above column pattern matches every column of type double and creates one derived column per match. By stating `$$` as the column name field, each matched column is updated with the same name. The value of the each column is the existing value rounded to two decimal points.
+The above column pattern matches every column of type double and creates one derived column per match. By stating `$$` as the column name field, each matched column is updated with the same name. The value of each column is the existing value rounded to two decimal points.
 
 To verify your matching condition is correct, you can validate the output schema of defined columns in the **Inspect** tab or get a snapshot of the data in the **Data preview** tab. 
 
diff --git a/articles/data-factory/concepts-data-flow-flowlet.md b/articles/data-factory/concepts-data-flow-flowlet.md
@@ -8,7 +8,7 @@ ms.service: data-factory
 ms.subservice: data-flows
 ms.custom: synapse
 ms.topic: conceptual
-ms.date: 11/11/2021
+ms.date: 01/11/2023
 ---
 
 # Flowlets in mapping data flow
diff --git a/articles/data-factory/concepts-data-flow-overview.md b/articles/data-factory/concepts-data-flow-overview.md
@@ -7,7 +7,7 @@ ms.service: data-factory
 ms.subservice: data-flows
 ms.topic: conceptual
 ms.custom: references_regions
-ms.date: 08/26/2021
+ms.date: 01/11/2023
 ---
 
 # Mapping data flows in Azure Data Factory
diff --git a/articles/data-factory/concepts-data-flow-performance-sinks.md b/articles/data-factory/concepts-data-flow-performance-sinks.md
@@ -8,7 +8,7 @@ ms.author: makromer
 ms.service: data-factory
 ms.subservice: data-flows
 ms.custom: synapse
-ms.date: 10/06/2021
+ms.date: 01/11/2023
 ---
 
 # Optimizing sinks
diff --git a/articles/data-factory/concepts-data-flow-performance-transformations.md b/articles/data-factory/concepts-data-flow-performance-transformations.md
@@ -8,7 +8,7 @@ ms.author: makromer
 ms.service: data-factory
 ms.subservice: data-flows
 ms.custom: synapse
-ms.date: 09/29/2021
+ms.date: 01/11/2023
 ---
 
 # Optimizing transformations
@@ -37,7 +37,7 @@ Unlike merge join in tools like SSIS, the join transformation isn't a mandatory
 
 ## Window transformation performance
 
-The [Window transformation in mapping data flow](data-flow-window.md) partitions your data by value in columns that you select as part of the ```over()``` clause in the transformation settings. There are a number of very popular aggregate and analytical functions that are exposed in the Windows transformation. However, if your use case is to generate a window over your entire dataset for the purpose of ranking ```rank()``` or row number ```rowNumber()```, it is recommended that you instead use the [Rank transformation](data-flow-rank.md) and the [Surrogate Key transformation](data-flow-surrogate-key.md). Those transformation will perform better again full dataset operations using those functions.
+The [Window transformation in mapping data flow](data-flow-window.md) partitions your data by value in columns that you select as part of the ```over()``` clause in the transformation settings. There are a number of very popular aggregate and analytical functions that are exposed in the Windows transformation. However, if your use case is to generate a window over your entire dataset for the purpose of ranking ```rank()``` or row number ```rowNumber()```, it is recommended that you instead use the [Rank transformation](data-flow-rank.md) and the [Surrogate Key transformation](data-flow-surrogate-key.md). Those transformations will perform better again full dataset operations using those functions.
 
 ## Repartitioning skewed data
 
diff --git a/articles/data-factory/connect-data-factory-to-azure-purview.md b/articles/data-factory/connect-data-factory-to-azure-purview.md
@@ -6,14 +6,14 @@ author: jianleishen
 ms.service: data-factory
 ms.topic: conceptual
 ms.custom: seo-lt-2019, references_regions
-ms.date: 10/25/2021
+ms.date: 01/11/2023
 ---
 
 # Connect Data Factory to Microsoft Purview
 
 [!INCLUDE[appliesto-adf-xxx-md](includes/appliesto-adf-xxx-md.md)]
 
-[Microsoft Purview](../purview/overview.md) is a unified data governance service that helps you manage and govern your on-premises, multi-cloud, and software-as-a-service (SaaS) data. You can connect your data factory to Microsoft Purview. That connection allows you to use Microsoft Purview for capturing lineage data, and to discover and explore Microsoft Purview assets.
+[Microsoft Purview](../purview/overview.md) is a unified data governance service that helps you manage and govern your on-premises, multicloud, and software-as-a-service (SaaS) data. You can connect your data factory to Microsoft Purview. That connection allows you to use Microsoft Purview for capturing lineage data, and to discover and explore Microsoft Purview assets.
 
 ## Connect Data Factory to Microsoft Purview
 
diff --git a/articles/data-factory/connector-amazon-s3-compatible-storage.md b/articles/data-factory/connector-amazon-s3-compatible-storage.md
@@ -8,7 +8,7 @@ ms.service: data-factory
 ms.subservice: data-movement
 ms.topic: conceptual
 ms.custom: synapse
-ms.date: 12/13/2021
+ms.date: 01/11/2023
 ---
 
 # Copy data from Amazon S3 Compatible Storage by using Azure Data Factory or Synapse Analytics
diff --git a/articles/data-factory/connector-ftp.md b/articles/data-factory/connector-ftp.md
@@ -7,7 +7,7 @@ ms.service: data-factory
 ms.subservice: data-movement
 ms.custom: synapse
 ms.topic: conceptual
-ms.date: 11/29/2021
+ms.date: 01/11/2023
 ms.author: jianleishen
 ---
 
diff --git a/articles/data-factory/connector-google-cloud-storage.md b/articles/data-factory/connector-google-cloud-storage.md
@@ -7,7 +7,7 @@ ms.service: data-factory
 ms.subservice: data-movement
 ms.custom: synapse
 ms.topic: conceptual
-ms.date: 12/13/2021
+ms.date: 01/11/2023
 ms.author: jianleishen
 ---
 
diff --git a/articles/data-factory/connector-hdfs.md b/articles/data-factory/connector-hdfs.md
@@ -7,7 +7,7 @@ ms.service: data-factory
 ms.subservice: data-movement
 ms.custom: synapse
 ms.topic: conceptual
-ms.date: 12/13/2021
+ms.date: 01/11/2023
 ms.author: jianleishen
 ---
 
diff --git a/articles/data-factory/connector-mysql.md b/articles/data-factory/connector-mysql.md
@@ -7,7 +7,7 @@ ms.service: data-factory
 ms.subservice: data-movement
 ms.custom: synapse
 ms.topic: conceptual
-ms.date: 09/09/2021
+ms.date: 01/11/2023
 ms.author: jianleishen
 ---
 
diff --git a/articles/data-factory/connector-servicenow.md b/articles/data-factory/connector-servicenow.md
@@ -8,7 +8,7 @@ ms.service: data-factory
 ms.subservice: data-movement
 ms.topic: conceptual
 ms.custom: synapse
-ms.date: 09/09/2021
+ms.date: 01/11/2023
 ---
 
 # Copy data from ServiceNow using Azure Data Factory or Synapse Analytics
diff --git a/articles/data-factory/connector-troubleshoot-parquet.md b/articles/data-factory/connector-troubleshoot-parquet.md
@@ -6,7 +6,7 @@ author: jianleishen
 ms.service: data-factory
 ms.subservice: data-movement
 ms.topic: troubleshooting
-ms.date: 10/13/2021
+ms.date: 01/11/2023
 ms.author: jianleishen
 ms.custom: has-adal-ref, synapse
 ---
diff --git a/articles/data-factory/continuous-integration-delivery-hotfix-environment.md b/articles/data-factory/continuous-integration-delivery-hotfix-environment.md
@@ -7,7 +7,7 @@ author: nabhishek
 ms.author: abnarain
 ms.reviewer: jburchel
 ms.topic: conceptual
-ms.date: 09/24/2021 
+ms.date: 01/11/2023
 ms.custom: devx-track-azurepowershell
 ---
 
diff --git a/articles/data-factory/continuous-integration-delivery-linked-templates.md b/articles/data-factory/continuous-integration-delivery-linked-templates.md
@@ -7,7 +7,7 @@ author: nabhishek
 ms.author: abnarain
 ms.reviewer: jburchel
 ms.topic: conceptual
-ms.date: 09/24/2021 
+ms.date: 01/11/2023
 ms.custom: devx-track-azurepowershell
 ---
 
diff --git a/articles/data-factory/copy-activity-preserve-metadata.md b/articles/data-factory/copy-activity-preserve-metadata.md
@@ -7,7 +7,7 @@ ms.service: data-factory
 ms.subservice: data-movement
 ms.custom: synapse
 ms.topic: conceptual
-ms.date: 09/09/2021
+ms.date: 01/11/2023
 ms.author: jianleishen
 ---
 
diff --git a/articles/data-factory/industry-sap-overview.md b/articles/data-factory/industry-sap-overview.md
@@ -7,7 +7,7 @@ ms.author: ulrichchrist
 ms.service: data-factory
 ms.custom: event-tier1-build-2022, ignite-2022
 ms.topic: conceptual
-ms.date: 08/11/0222
+ms.date: 01/11/2023
 ---
 
 # SAP knowledge center overview
diff --git a/articles/data-factory/media/data-flow-flowlet/flowlet-new-menu.png b/articles/data-factory/media/data-flow-flowlet/flowlet-new-menu.png
diff --git a/articles/data-factory/media/tutorial-incremental-copy-change-data-capture-feature-portal/data-factory-deploy-complete.png b/articles/data-factory/media/tutorial-incremental-copy-change-data-capture-feature-portal/data-factory-deploy-complete.png
diff --git a/articles/data-factory/media/tutorial-incremental-copy-change-data-capture-feature-portal/data-factory-home-page.png b/articles/data-factory/media/tutorial-incremental-copy-change-data-capture-feature-portal/data-factory-home-page.png
diff --git a/articles/data-factory/media/tutorial-incremental-copy-change-data-capture-feature-portal/new-azure-data-factory-menu.png b/articles/data-factory/media/tutorial-incremental-copy-change-data-capture-feature-portal/new-azure-data-factory-menu.png
diff --git a/articles/data-factory/media/tutorial-incremental-copy-change-data-capture-feature-portal/new-azure-data-factory.png b/articles/data-factory/media/tutorial-incremental-copy-change-data-capture-feature-portal/new-azure-data-factory.png
diff --git a/articles/data-factory/media/tutorial-transform-data-spark-portal/data-factory-home-page.png b/articles/data-factory/media/tutorial-transform-data-spark-portal/data-factory-home-page.png
diff --git a/articles/data-factory/media/tutorial-transform-data-spark-portal/name-not-available-error.png b/articles/data-factory/media/tutorial-transform-data-spark-portal/name-not-available-error.png
diff --git a/articles/data-factory/media/tutorial-transform-data-spark-portal/new-azure-data-factory-menu.png b/articles/data-factory/media/tutorial-transform-data-spark-portal/new-azure-data-factory-menu.png
diff --git a/articles/data-factory/media/tutorial-transform-data-spark-portal/new-azure-data-factory.png b/articles/data-factory/media/tutorial-transform-data-spark-portal/new-azure-data-factory.png
diff --git a/articles/data-factory/tutorial-incremental-copy-change-data-capture-feature-portal.md b/articles/data-factory/tutorial-incremental-copy-change-data-capture-feature-portal.md
@@ -6,7 +6,7 @@ author: dearandyxu
 ms.service: data-factory
 ms.subservice: tutorials
 ms.topic: tutorial
-ms.date: 12/15/2022
+ms.date: 01/11/2023
 ---
 
 # Incrementally load data from Azure SQL Managed Instance to Azure Storage using change data capture (CDC)
@@ -95,40 +95,7 @@ If you don't have an Azure subscription, create a [free](https://azure.microsoft
 
 ## 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. On the left menu, select **Create a resource** > **Data + Analytics** > **Data Factory**:
-
-   :::image type="content" source="./media/tutorial-incremental-copy-change-data-capture-feature-portal/new-azure-data-factory-menu.png" alt-text="Data Factory selection in the &quot;New&quot; pane":::
-
-2. In the **New data factory** page, enter **ADFTutorialDataFactory** for the **name**.
-
-     :::image type="content" source="./media/tutorial-incremental-copy-change-data-capture-feature-portal/new-azure-data-factory.png" alt-text="New data factory page":::
-
-   The name of the Azure data factory must be **globally unique**. If you receive the following error, change the name of the data factory (for example, yournameADFTutorialDataFactory) and try creating again. See [Data Factory - Naming Rules](naming-rules.md) article for naming rules for Data Factory artifacts.
-
-    *Data factory name "ADFTutorialDataFactory" is not available.*
-3. Select **V2** for the **version**.
-4. Select your Azure **subscription** in which you want to create the data factory.
-5. For the **Resource Group**, do one of the following steps:
-
-   1. Select **Use existing**, and select an existing resource group from the drop-down list.
-   2. Select **Create new**, and enter the name of a resource group.   
-         
-    To learn about resource groups, see [Using resource groups to manage your Azure resources](../azure-resource-manager/management/overview.md).  
-5. Select the **location** for the data factory. Only locations that are supported are displayed in the drop-down list. The data stores (Azure Storage, Azure SQL Database, etc.) and computes (HDInsight, etc.) used by data factory can be in other regions.
-6. De-select **Enable GIT**.     
-7. Click **Create**.
-8. Once the deployment is complete, click on **Go to resource**
-
-   :::image type="content" source="./media/tutorial-incremental-copy-change-data-capture-feature-portal/data-factory-deploy-complete.png" alt-text="Screenshot shows a message that your deployment is complete and an option to go to resource.":::
-9. After the creation is complete, you see the **Data Factory** page as shown in the image.
-
-      :::image type="content" source="./media/doc-common-process/data-factory-home-page.png" alt-text="Home page for the Azure Data Factory, with the Open Azure Data Factory Studio tile.":::
-
-10. Select **Open** on the **Open Azure Data Factory Studio** tile to launch the Azure Data Factory user interface (UI) in a separate tab.
-11. In the home page, switch to the **Manage** tab in the left panel as shown in the following image:
-
-    :::image type="content" source="media/doc-common-process/get-started-page-manage-button.png" alt-text="Screenshot that shows the Manage button.":::
+Follow the steps in the article [Quickstart: Create a data factory by using the Azure portal](quickstart-create-data-factory.md) to create a data factory if you don't already have one to work with.
 
 ## Create linked services
 You create linked services in a data factory to link your data stores and compute services to the data factory. In this section, you create linked services to your Azure Storage account and Azure SQL MI.
diff --git a/articles/data-factory/tutorial-incremental-copy-change-tracking-feature-powershell.md b/articles/data-factory/tutorial-incremental-copy-change-tracking-feature-powershell.md
@@ -7,7 +7,7 @@ ms.service: data-factory
 ms.subservice: tutorials
 ms.topic: tutorial
 ms.custom: devx-track-azurepowershell
-ms.date: 02/18/2021
+ms.date: 01/11/2023
 ---
 
 # Incrementally load data from Azure SQL Database to Azure Blob Storage using change tracking information using PowerShell
diff --git a/articles/data-factory/tutorial-transform-data-spark-portal.md b/articles/data-factory/tutorial-transform-data-spark-portal.md
@@ -6,7 +6,7 @@ ms.subservice: tutorials
 ms.topic: tutorial
 author: nabhishek
 ms.author: abnarain
-ms.date: 06/07/2021
+ms.date: 01/11/2023
 ---
 # Transform data in the cloud by using a Spark activity in Azure Data Factory
 
@@ -76,34 +76,7 @@ If you don't have an Azure subscription, create a [free account](https://azure.m
 
 ## 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. Select **New** on the left menu, select **Data + Analytics**, and then select **Data Factory**. 
-   
-   :::image type="content" source="./media/tutorial-transform-data-spark-portal/new-azure-data-factory-menu.png" alt-text="Data Factory selection in the &quot;New&quot; pane":::
-1. In the **New data factory** pane, enter **ADFTutorialDataFactory** under **Name**. 
-      
-   :::image type="content" source="./media/tutorial-transform-data-spark-portal/new-azure-data-factory.png" alt-text="&quot;New data factory&quot; pane":::
- 
-   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, use **&lt;yourname&gt;ADFTutorialDataFactory**). For naming rules for Data Factory artifacts, see the [Data Factory - naming rules](naming-rules.md) article.
-  
-   :::image type="content" source="./media/tutorial-transform-data-spark-portal/name-not-available-error.png" alt-text="Error when a name is not available":::
-1. For **Subscription**, select your Azure subscription in which you want to create the data factory. 
-1. For **Resource Group**, take one of the following steps:
-     
-   - Select **Use existing**, and select an existing resource group from the drop-down list. 
-   - Select **Create new**, and enter the name of a resource group.   
-         
-   Some of the steps in this quickstart assume that you use the name **ADFTutorialResourceGroup** for the resource group. To learn about resource groups, see [Using resource groups to manage your Azure resources](../azure-resource-manager/management/overview.md).  
-1. For **Version**, select **V2**.
-1. For **Location**, select the location for the data factory. 
-
-   For a list of Azure regions in which Data Factory is currently available, select the regions that interest you on the following page, and then expand **Analytics** to locate **Data Factory**: [Products available by region](https://azure.microsoft.com/global-infrastructure/services/). The data stores (like Azure Storage and Azure SQL Database) and computes (like HDInsight) that Data Factory uses can be in other regions.
-
-1. Select **Create**.
-
-1. After the creation is complete, you see the **Data factory** page. Select the **Author & Monitor** tile to start the Data Factory UI application on a separate tab.
-
-    :::image type="content" source="./media/tutorial-transform-data-spark-portal/data-factory-home-page.png" alt-text="Home page for the data factory, with the &quot;Author & Monitor&quot; tile":::
+Follow the steps in the article [Quickstart: Create a data factory by using the Azure portal](quickstart-create-data-factory.md) to create a data factory if you don't already have one to work with.
 
 ## Create linked services
 You author two linked services in this section: 
