Merge pull request #292470 from whhender/december-synapse-freshness

December synapse freshness part 3

Author: Stacyrch140

articles/synapse-analytics/database-designer/concepts-lake-database.md

@@ -6,7 +6,7 @@ ms.author: mahi
 ms.service: azure-synapse-analytics
 ms.subservice: database-editor
 ms.topic: concept-article
-ms.date: 11/02/2021
+ms.date: 12/19/2024
 ms.custom: template-concept
 ---
 

articles/synapse-analytics/get-started-analyze-data-explorer.md

@@ -1,8 +1,8 @@
 ---
 title: 'Quickstart: Get started analyzing with Data Explorer pools (Preview)'
-description: In this quickstart, you'll learn to analyze data with Data Explorer.
+description: In this quickstart, you learn to analyze data with Data Explorer.
 ms.topic: quickstart
-ms.date: 11/18/2022
+ms.date: 12/20/2024
 author: shsagir
 ms.author: shsagir
 ms.reviewer: shsagir
@@ -13,7 +13,7 @@ ms.custom: mode-other
 
 # Quickstart: Analyze with Data Explorer (Preview)
 
-In this article, you'll learn the basic steps to load and analyze data with Data Explorer for Azure Synapse.
+In this article, you learn the basic steps to load and analyze data with Data Explorer for Azure Synapse.
 
 ## Create a Data Explorer pool
 
@@ -47,8 +47,8 @@ In this article, you'll learn the basic steps to load and analyze data with Data
 
 ## Ingest sample data and analyze with a simple query
 
-1. In Synapse Studio, on the left-side pane, select **Develop**.
-1. Under **KQL scripts**, Select **+** (Add new resource) > **KQL script**. On the right-side pane, you can name your script.
+1. Once your pool is deployed, in the Synapse Studio, on the left-side pane, select **Develop**.
+1. Select **+** (Add new resource) > **KQL script**. On the right-side pane, you can name your script.
 1. In the **Connect to** menu, select *contosodataexplorer*.
 1. In the **Use database** menu, select *TestDatabase*.
 1. Paste in the following command, and select **Run** to create a StormEvents table.
@@ -78,7 +78,7 @@ In this article, you'll learn the basic steps to load and analyze data with Data
 
     :::image type="content" source="data-explorer/media/get-started-analyze-data-explorer/sample-query-results.png" alt-text="Results for query run on sample data":::
 
-## Next steps
+## Related content
 
 - [Tutorial: Use KQL queries](/azure/data-explorer/kusto/query/tutorial?context=/azure/synapse-analytics/context/context&pivots=synapse)
 - [Monitor Data Explorer pools](data-explorer/data-explorer-monitor-pools.md)

articles/synapse-analytics/machine-learning/tutorial-cognitive-services-sentiment.md

@@ -5,16 +5,16 @@ ms.service: azure-synapse-analytics
 ms.subservice: machine-learning
 ms.topic: tutorial
 ms.reviewer: whhender, garye
-ms.date: 11/20/2020
+ms.date: 12/20/2024
 author: nelgson
 ms.author: negust
 ---
 
 # Tutorial: Sentiment analysis with Azure AI services
 
-In this tutorial, you'll learn how to easily enrich your data in Azure Synapse Analytics with [Azure AI services](/azure/ai-services/). You'll use the [Azure AI Language](/azure/ai-services/language-service/) text analytics capabilities to perform sentiment analysis. 
+In this tutorial, you learn how to enrich your data in Azure Synapse Analytics with [Azure AI services](/azure/ai-services/). You'll use the [Azure AI Language](/azure/ai-services/language-service/) text analytics capabilities to perform sentiment analysis. 
 
-A user in Azure Synapse can simply select a table that contains a text column to enrich with sentiments. These sentiments can be positive, negative, mixed, or neutral. A probability will also be returned.
+A user in Azure Synapse can select a table that contains a text column to enrich with sentiments. These sentiments can be positive, negative, mixed, or neutral. A probability will also be returned.
 
 This tutorial covers:
 
@@ -28,7 +28,7 @@ If you don't have an Azure subscription, [create a free account before you begin
 
 - [Azure Synapse Analytics workspace](../get-started-create-workspace.md) with an Azure Data Lake Storage Gen2 storage account configured as the default storage. You need to be the *Storage Blob Data Contributor* of the Data Lake Storage Gen2 file system that you work with.
 - Spark pool in your Azure Synapse Analytics workspace. For details, see [Create a Spark pool in Azure Synapse](../quickstart-create-sql-pool-studio.md).
-- Pre-configuration steps described in the tutorial [Configure Azure AI services in Azure Synapse](tutorial-configure-cognitive-services-synapse.md).
+- Preconfiguration steps described in the tutorial: [Configure Azure AI services in Azure Synapse](tutorial-configure-cognitive-services-synapse.md).
 
 ## Sign in to the Azure portal
 
@@ -38,7 +38,9 @@ Sign in to the [Azure portal](https://portal.azure.com/).
 
 You'll need a Spark table for this tutorial.
 
-1. Download the [FabrikamComments.csv](https://github.com/aghonaim/datasets/blob/master/FabrikamComments.csv) file, which contains a dataset for text analytics. 
+1. Download the [FabrikamComments.csv](https://github.com/aghonaim/datasets/blob/master/FabrikamComments.csv) file, which contains a dataset for text analytics.
+
+1. In Synapse analytics, open your storage account under **Data** and **Linked**.
 
 1. Upload the file to your Azure Synapse storage account in Data Lake Storage Gen2.
 
@@ -48,7 +50,7 @@ You'll need a Spark table for this tutorial.
 
    ![Screenshot that shows selections for creating a Spark table.](media/tutorial-cognitive-services/tutorial-cognitive-services-sentiment-00b.png)
 
-1. Name the table in the code cell and run the notebook on a Spark pool. Remember to set `header=True`.
+1. Set `header=True` and name the table in the code cell. Then run the notebook on a Spark pool.
 
    ![Screenshot that shows running a notebook.](media/tutorial-cognitive-services/tutorial-cognitive-services-sentiment-00c.png)
 
@@ -65,11 +67,12 @@ You'll need a Spark table for this tutorial.
 
 ## Open the Azure AI services wizard
 
-1. Right-click the Spark table created in the previous procedure. Select **Machine Learning** > **Predict with a model** to open the wizard.
+1. In the **Workspace** tab on the data page, under your default lake table, right-click the Spark table created in the previous procedure. 
+1. Select **Machine Learning** > **Predict with a model** to open the wizard.
 
    ![Screenshot that shows selections for opening the scoring wizard.](media/tutorial-cognitive-services/tutorial-cognitive-services-sentiment-00d.png)
 
-2. A configuration panel appears, and you're asked to select a pre-trained model. Select **Sentiment Analysis**.
+1. A configuration panel appears, and you're asked to select a pretrained model. Select **Sentiment Analysis**.
 
    ![Screenshot that shows selection of a pre-trained sentiment analysis model.](media/tutorial-cognitive-services/tutorial-cognitive-services-sentiment-choose.png)
 
@@ -94,7 +97,8 @@ The sentiments are returned as **positive**, **negative**, **neutral**, or **mix
 
 ![Screenshot that shows sentiment analysis.](media/tutorial-cognitive-services/tutorial-cognitive-services-sentiment-notebook.png)
 
-## Next steps
+## Related content
+
 - [Tutorial: Anomaly detection with Azure AI services](tutorial-cognitive-services-anomaly.md)
 - [Tutorial: Machine learning model scoring in Azure Synapse dedicated SQL pools](tutorial-sql-pool-model-scoring-wizard.md)
 - [Machine Learning capabilities in Azure Synapse Analytics](what-is-machine-learning.md)

articles/synapse-analytics/quickstart-power-bi.md

@@ -5,15 +5,15 @@ author: jocaplan
 ms.service: azure-synapse-analytics
 ms.topic: quickstart
 ms.subservice: business-intelligence
-ms.date: 10/27/2020
+ms.date: 12/20/2024
 ms.author: jocaplan
 ms.reviewer: whhender
 ms.custom: mode-other
 ---
 
 # Quickstart: Linking a Power BI workspace to a Synapse workspace
 
-In this quickstart, you will learn how to connect a Power BI workspace to an Azure Synapse Analytics workspace to create new Power BI reports and datasets from Synapse Studio.
+In this quickstart, you learn how to connect a Power BI workspace to an Azure Synapse Analytics workspace to create new Power BI reports and datasets from Synapse Studio.
 
 If you don't have an Azure subscription, [create a free account before you begin](https://azure.microsoft.com/free/).
 
@@ -24,45 +24,41 @@ If you don't have an Azure subscription, [create a free account before you begin
 
 ## Link Power BI workspace to your Synapse workspace
 
-1. Starting from Synapse Studio, click **Manage**.
+1. Starting from Synapse Studio, select **Manage**.
 
-    ![Synapse Studio click manage.](media/quickstart-link-powerbi/synapse-studio-click-manage.png)
+1. Under **External Connections**, select **Linked services**.
 
-2. Under **External Connections**, click **Linked services**.
-
-    ![Linked services highlighted.](media/quickstart-link-powerbi/manage-click-linked-services.png)
-
-3. Click **+ New**.
+1. Select **+ New**.
 
     ![+ New linked services is highlighted.](media/quickstart-link-powerbi/new-highlighted.png)
 
-4. Click **Power BI** and click **Continue**.
+1. Select **Power BI** and select **Continue**.
 
     ![Displaying Power BI linked service.](media/quickstart-link-powerbi/powerbi-linked-service.png)
 
-5. Enter a name for the linked service and select a workspace from the dropdown list.
+1. Enter a name for the linked service and select a workspace from the dropdown list.
+
+    >[!TIP]
+    >If the workspace name doesn't load, select **Edit** and then enter your workspace ID. You can find the ID in the URL for the PowerBI workspace: `https://msit.powerbi.com/groups/<workspace id>/`
 
     ![Displaying Power BI linked service setup.](media/quickstart-link-powerbi/workspace-link-dialog.png)
 
-6. Click **Create**.
+1. Select **Create**.
 
 ## View Power BI workspace in Synapse Studio
 
 Once your workspaces are linked, you can browse your Power BI datasets, edit/create new Power BI Reports from Synapse Studio.
 
-1. Click **Develop**.
+1. Select **Develop**.
 
-    ![Synapse Studio click develop.](media/quickstart-link-powerbi/synapse-studio-click-develop.png)
-
-2. Expand Power BI and the workspace you wish to use.
+1. Expand Power BI and the workspace you wish to use.
 
     ![Expand Power BI and the workspace.](media/quickstart-link-powerbi/develop-expand-powerbi.png)
 
-New reports can be created clicking **+** at the top of the **Develop** tab. Existing reports can be edited by clicking on the report name. Any saved changes will be written back to the Power BI workspace.
+New reports can be created selecting **+** at the top of the **Develop** tab. Existing reports can be edited by selecting on the report name. Any saved changes are written back to the Power BI workspace.
 
 ![View and edit Power BI report.](media/quickstart-link-powerbi/powerbi-report.png)
 
-
-## Next steps
+## Related content
 
 Learn more about [creating Power BI report on files stored on Azure Storage](sql/tutorial-connect-power-bi-desktop.md).

articles/synapse-analytics/security/gateway-ip-addresses.md

@@ -2,9 +2,9 @@
 title: Gateway IP addresses
 description: An article that teaches you what are the IP addresses used in different regions. 
 ms.service: azure-synapse-analytics
-ms.topic: overview
+ms.topic: concept-article
 ms.subservice: security 
-ms.date: 03/23/2023 
+ms.date: 12/20/2024
 author: ilijazagorac
 ms.author: ilijazagorac 
 ms.custom: references_regions 
@@ -14,7 +14,7 @@ ms.custom: references_regions
 
 The table below lists the individual Gateway IP addresses and also Gateway IP address ranges per region.
 
-Periodically, we will retire Gateways using old hardware and migrate the traffic to new Gateways as per the process outlined at [Azure SQL Database traffic migration to newer Gateways](/azure/azure-sql/database/gateway-migration). 
+Periodically, we'll retire Gateways using old hardware and migrate the traffic to new Gateways as per the process outlined at [Azure SQL Database traffic migration to newer Gateways](/azure/azure-sql/database/gateway-migration).
 We strongly encourage customers to move away from relying on **any individual Gateway IP address** (since these will be retired in the future). Instead, allow network traffic to reach both the individual Gateway IP addresses and Gateway IP address subnets in a region.
 
 > [!IMPORTANT]