Repo sync for protected branch

data-explorer/add-query-visualization.md

@@ -1,19 +1,19 @@
 ---
-title: Add a query visualization in the web UI - Azure Data Explorer
+title: Add a Query Visualization in the Web UI - Azure Data Explorer
 description: Learn how to add a query visualization in the Azure Data Explorer web UI.
 ms.reviewer: mibar
 ms.topic: how-to
-ms.date: 08/02/2023
+ms.date: 04/12/2026
 ---
 # Add and modify a query visualization in the web UI
 
-In this article, you'll learn how to create and customize visuals from query results, using the UI like that found in Azure Data Explorer Dashboards. These visuals can be further manipulated, and can be pinned in a [dashboard](azure-data-explorer-dashboards.md). The addition or modification of these visuals doesn't require rerunning the query, which can be especially useful for heavy queries.
+In this article, you learn how to create and customize visuals from query results by using the UI, such as the one found in Azure Data Explorer Dashboards. You can further manipulate these visuals and pin them in a [dashboard](azure-data-explorer-dashboards.md). You don't need to rerun the query to add or modify these visuals. This feature is especially useful for heavy queries.
 
 For a full list of available visuals, see [Visualization](/kusto/query/render-operator?view=azure-data-explorer&preserve-view=true#visualization). For visuals that are only available in the web UI or dashboards, see [Dashboard-specific visuals](dashboard-visuals.md).
 
 ## Prerequisites
 
-* A Microsoft account or a Microsoft Entra user identity. An Azure subscription isn't required.
+* A Microsoft account or a Microsoft Entra user identity. You don't need an Azure subscription.
 * An Azure Data Explorer cluster and database. Use the publicly available [**help** cluster](https://dataexplorer.azure.com/help) or [create a cluster and database](create-cluster-and-database.md).
 
 ## Add a visual to a query
@@ -43,26 +43,26 @@ For a full list of available visuals, see [Visualization](/kusto/query/render-op
 
 ## Change an existing visualization
 
-There are two ways to use the visual formatting pane to change an existing visualization.
+Use the visual formatting pane to change an existing visualization.
 
 ### Visual created with UI
 
-If you've added a visual through the UI, you can change this visual by selecting the **Edit visual** tab in the results grid.
+If you add a visual through the UI, you can change this visual by selecting the **Edit visual** tab in the results grid.
 
 :::image type="content" source="media/add-query-visualization/edit-visual.png" alt-text="Screenshot of edit visual tab in the results grid in Azure Data Explorer web UI.":::
 
 ### Visual created in query
 
-If you've created a visual using the [render operator](/kusto/query/render-operator?view=azure-data-explorer&preserve-view=true), you can edit the visual by selecting **Visual** in the results grid.
+If you create a visual by using the [render operator](/kusto/query/render-operator?view=azure-data-explorer&preserve-view=true), select **Visual** in the results grid to edit the visual.
 
 :::image type="content" source="media/add-query-visualization/change-rendered-visual.png" alt-text="Screenshot of rendered visual as a bar chart that has been changed to a column chart in the visual formatting pane in Azure Data Explorer web UI." lightbox="media/add-query-visualization/change-rendered-visual.png":::
 
 > [!IMPORTANT]
-> Notice that the visual formatting pane has changed the visual representation, but has not modified the original query.
+> The visual formatting pane changes the visual representation, but doesn't modify the original query.
 
 ## Pin to dashboard
 
-After you have formatted your visual, you can pin this visual to a new or existing dashboard.
+After you format your visual, pin it to a new or existing dashboard.
 
 1. From the visual formatting pane, select **Pin to dashboard**.
 

data-explorer/create-event-hubs-connection.md

@@ -1,8 +1,8 @@
 ---
-title: 'Create an Event Hubs data connection - Azure Data Explorer'
+title: Create an Event Hubs Data Connection - Azure Data Explorer
 description: Learn how to ingest data from Event Hubs into Azure Data Explorer.
 ms.topic: how-to
-ms.date: 08/26/2025
+ms.date: 01/12/2026
 ms.custom:
   - sfi-image-nochange
 ---
@@ -39,15 +39,15 @@ In this section, you establish a connection between the event hub and your Azure
 
 1. Right-click on the database where you want to ingest the data. Select **Get data**.
 
-    :::image type="content" source="media/get-data-event-hubs/get-data.png" alt-text="Screenshot of query tab, with right-click on a database and the get options dialog open." lightbox="media/get-data-event-hubs/get-data.png":::
+    :::image type="content" source="media/get-data-file/get-data.png" alt-text="Screenshot of query tab, with right-click on a database and the get options dialog open." lightbox="media/get-data-file/get-data.png":::
 
 ### Source
 
 In the **Get data** window, the **Source** tab is selected.
 
 Select the data source from the available list. In this example, you're ingesting data from **Event Hubs**.
 
-:::image type="content" source="media/get-data-file/select-data-source.png" alt-text="Screenshot of get data window with source tab selected." lightbox="media/get-data-file/select-data-source.png":::
+:::image type="content" source="media/get-data-event-hubs/select-data-source.png" alt-text="Screenshot of get data window with source tab selected." lightbox="media/get-data-event-hubs/select-data-source.png":::
 
 ### Configure
 

data-explorer/data-lake-query-data.md

@@ -1,10 +1,11 @@
 ---
-title: Query data in Azure Data Lake using Azure Data Explorer
+title: Query Data in Azure Data Lake Using Azure Data Explorer
 description: Learn how to query data in Azure Data Lake using Azure Data Explorer.
 ms.reviewer: orspodek
 ms.topic: how-to
-ms.date: 06/10/2025
+ms.date: 04/12/2026
 ---
+
 # Query data in Azure Data Lake using Azure Data Explorer
 
 Azure Data Lake Storage is a highly scalable and cost-effective data lake solution for big data analytics. It combines the power of a high-performance file system with massive scale and economy to help you reduce your time to insight. Data Lake Storage Gen2 extends Azure Blob Storage capabilities and is optimized for analytics workloads.
@@ -49,7 +50,7 @@ dataformat=csv
 
 The external table is now visible in the left pane of the Azure Data Explorer web UI:
 
-:::image type="content" source="media/data-lake-query-data/external-tables-web-ui.png" alt-text="Screenshot that shows external table in Azure Data Explorer web UI.":::
+:::image type="content" source="media/data-lake-query-data/external-tables.png" alt-text="Screenshot that shows external table in Azure Data Explorer web UI.":::
 
 ## External table permissions
 
@@ -200,9 +201,7 @@ dataformat=csv
 )
 ```
 
-You can find the created **TaxiRides** table by looking at the left pane of the Azure Data Explorer web UI:
-
-:::image type="content" source="media/data-lake-query-data/taxirides-external-table.png" alt-text=" Screenshot showing the Taxi rides external table.":::
+You can find the created **TaxiRides** table by looking at the left pane of the Azure Data Explorer web UI.
 
 ### Query *TaxiRides* external table data
 

data-explorer/get-data-amazon-s3.md

@@ -1,48 +1,48 @@
 ---
-title: Get data from Amazon S3 into Azure Data Explorer
+title: Get Data from Amazon S3 Into Azure Data Explorer
 description: Learn how to get data from Amazon S3 into Azure Data Explorer.
 ms.reviewer: sharmaanshul
 ms.topic: how-to
-ms.date: 11/16/2023
+ms.date: 04/12/2026
 ms.custom: sfi-image-nochange
 ---
 # Get data from Amazon S3
 
-Data ingestion is the process used to load data from one or more sources into a table in Azure Data Explorer. Once ingested, the data becomes available for query. In this article, you learn how to get data from Amazon S3 into either a new or existing table.
+Data ingestion is the process of loading data from one or more sources into a table in Azure Data Explorer. After ingestion, the data is available for query. In this article, you learn how to get data from Amazon S3 into either a new or existing table.
 
-For more information on Amazon S3, see [What is Amazon S3?](https://docs.aws.amazon.com/AmazonS3/latest/userguide/Welcome.html).
+For more information on Amazon S3, see [What is Amazon S3?](https://docs.aws.amazon.com/AmazonS3/latest/userguide/Welcome.html)
 
 For general information on data ingestion, see [Azure Data Explorer data ingestion overview](ingest-data-overview.md).
 
 ## Prerequisites
 
-* A Microsoft account or a Microsoft Entra user identity. An Azure subscription isn't required.
-* Sign-in to the [Azure Data Explorer web UI](https://dataexplorer.azure.com/home).
+* A Microsoft account or a Microsoft Entra user identity. You don't need an Azure subscription.
+* Sign in to the [Azure Data Explorer web UI](https://dataexplorer.azure.com/home).
 * An Azure Data Explorer cluster and database. [Create a cluster and database](create-cluster-and-database.md).
 
 ## Get data
 
-1. From the left menu, select **Query**.
-1. Right-click on the database where you want to ingest the data, and then select **Get data**.
+1. Select **Query** from the left menu.
+1. Right-click the database where you want to ingest the data, and then select **Get data**.
 
-    :::image type="content" source="media/get-data-amazon-s3/get-data.png" alt-text="Screenshot of query tab, with right-click on a database and the get options dialog open." lightbox="media/get-data-amazon-s3/get-data.png":::
+    :::image type="content" source="media/get-data-file/get-data.png" alt-text="Screenshot of query tab, with right-click on a database and the get options dialog open." lightbox="media/get-data-file/get-data.png":::
 
 ## Source
 
 In the **Get data window**, the **Source** tab is selected.
 
-Select the data source from the available list. In this example, you are ingesting data from **Amazon S3**.
+Select the data source from the available list. In this example, ingest data from **Amazon S3**.
 
-:::image type="content" source="media/get-data-amazon-s3/select-data-source.png" alt-text="Screenshot of get data window with source tab selected." lightbox="media/get-data-amazon-s3/select-data-source.png":::
+:::image type="content" source="media/get-data-file/source.png" alt-text="Screenshot of get data window with source tab selected." lightbox="media/get-data-file/source.png":::
 
 ## Configure
 
-1. Select a target database and table. If you want to ingest data into a new table, select **+New table** and enter a table name.
+1. Select a target database and table. To ingest data into a new table, select **+ New table** and enter a table name.
 
     > [!NOTE]
-    > Table names can be up to 1024 characters including spaces, alphanumeric, hyphens, and underscores. Special characters aren't supported.
+    > Table names can be up to 1,024 characters, including spaces, alphanumeric characters, hyphens, and underscores. Special characters aren't supported.
 
-1. In the **URI** field, paste the connection string of a single bucket, or an individual object in the following format.
+1. In the **URI** field, paste the connection string for a single bucket or an individual object in the following format.
 
     > Bucket: `https://`*BucketName*`.s3.`*RegionName*`.amazonaws.com`
     >
@@ -82,7 +82,7 @@ Optionally:
 
 ## Summary
 
-In the **Data preparation** window, all three steps are marked with green check marks when data ingestion finishes successfully. You can view the commands that were used for each step, or select a card to query, visualize, or drop the ingested data.
+In the **Data preparation** window, all three steps show green check marks when data ingestion finishes successfully. You can view the commands that each step uses, or select a card to query, visualize, or drop the ingested data.
 
 :::image type="content" source="media/get-data-amazon-s3/summary.png" alt-text="Screenshot of summary page with successful ingestion completed." lightbox="media/get-data-amazon-s3/summary.png":::