Update data-add.md

Author: jonburchel

articles/ai-foundry/how-to/data-add.md

@@ -34,7 +34,7 @@ Data can help when you need these capabilities:
 
 [!INCLUDE [hub-only-prereq](../includes/hub-only-prereq.md)]
 
-## Create data
+## Adding new data
 
 You are charged for the storage used by your data. To help estimate the cost, you can use the [Azure Pricing Calculator](https://azure.microsoft.com/pricing/calculator/). The data is stored in a container called `workspaceblobstore` in your project's Azure Storage account. 
 
@@ -43,81 +43,63 @@ When you create your data, you need to set the data type. Azure AI Foundry suppo
 |Type  |**Canonical Scenarios**|
 |---------|---------|
 |**`file`**<br>Reference a single file | Read a single file on Azure Storage (the file can have any format). |
-|**`folder`**<br> Reference a folder |      Read a folder of parquet/CSV files into Pandas/Spark.<br><br>Read unstructured data (for example: images, text, or audio) located in a folder. |
+|**`folder`**<br>Reference a folder | Read a folder of parquet/CSV files into Pandas/Spark.<br><br>Read unstructured data (for example: images, text, or audio) located in a folder. |
+|**`table`**<br>Reference a table | Read a table on Azure Storage. |
 
 Azure AI Foundry shows the supported source paths. You can create a data from a folder or file:
 
-- If you select **folder type**, you can choose the folder URL format. Azure AI Foundry shows the supported folder URL formats. You can create a data resource as shown:
+- If you select **Folder** for the data source **Type**, you can choose the folder URL format. Azure AI Foundry shows the supported folder URL formats. You can create a data resource as shown:
     :::image type="content" source="../media/data-add/studio-url-folder.png" alt-text="Screenshot of folder URL format.":::
 
-- If you select **file type**, you can choose the file URL format. The supported file URL formats are shown in Azure AI Foundry portal. You can create a data resource as shown:
+- If you select **File** for the data source **Type**, you can choose the file URL format. The supported file URL formats are shown in Azure AI Foundry portal. You can create a data resource as shown:
     :::image type="content" source="../media/data-add/studio-url-file.png" alt-text="Screenshot of file URL format.":::
 
-### Create data: File type
+- If you select **Table** for the data source **Type**, you can choose the table URL format. The supported file URL formats are shown in Azure AI Foundry portal. You can create a data resource as shown:
+    :::image type="content" source="../media/data-add/studio-url-table.png" alt-text="Screenshot of table URL format.":::
 
-A file (`uri_file`) data resource type points to a *single file* on storage (for example, a CSV file).
-
-[!INCLUDE [tip-left-pane](../includes/tip-left-pane.md)]
+### Upload files and folders
 
-These steps explain how to create a File typed data resource in the Azure AI Foundry portal:
-
-1. Navigate to the [Azure AI Foundry](https://ai.azure.com/?cid=learnDocs).
+You can upload files or folders directly to your workspace storage account by selecting **Upload files/folders** in the **Data source** field as shown:
 
-1. Select the project where you want to create the data.
-
-1. From the collapsible **My assets** menu on the left, select **Data + indexes**, then select **New data** as shown in this screenshot:
-
-    :::image type="content" source="../media/data-add/add-data.png" alt-text="Screenshot highlighting New Data in the Data tab.":::
+:::image type="content" source="../media/data-add/upload-file-folder.png" alt-text="This screenshot shows how to upload a file.":::
 
-1. Choose your **Data source**. To choose a data source, you have two options.
-   - You can select **Get data with storage URL** if you have a direct URL to a storage account or a public accessible HTTPS server.
-   - You can select **Upload files/folders** to upload a folder from your local drive.
+When you upload files or folders, they are uploaded to the default `workspaceblobstore` connection. The files and folders are uploaded to the root of the storage container.
 
-     - **Get data with Storage URL**: You can choose the "File" as the **Type**, and then provide a URL based on the supported URL formats listed on that page, as shown in this screenshot:
-     
-     :::image type="content" source="../media/data-add/file-url.png" alt-text="This screenshot shows the provisioning of a URL that points to a file.":::
+### Add file, folder, and table data from Azure Storage
 
-     - **Upload files/folders**: You can select **Upload files/folders**, select **Upload files**, and choose the local file to upload. The file uploads into the default "workspaceblobstore" connection.
-     :::image type="content" source="../media/data-add/upload-file.png" alt-text="This screenshot shows how to upload a file.":::
+You can add file, folder, and table data from Azure Storage to your Azure AI Foundry workspace.
 
-    1. Select **Next** after you choose the data source.
+A file (`uri_file`) data resource type points to a *single file* on storage (for example, a CSV file).
 
-    1. Enter a custom name for your data, and then select **Create**.
+A Folder (`uri_folder`) data source type points to a *folder* on a storage resource (for example, a folder containing several subfolders of images).
 
-    :::image type="content" source="../media/data-add/data-add-finish.png" alt-text="This screenshot shows the naming step for the data source." lightbox="../media/data-connections/data-add-finish.png":::
+A Table ('uri_table') data source type points to a *table* on a storage resource (for example, a folder that contains tabular data).
 
-### Create data: Folder type
+[!INCLUDE [tip-left-pane](../includes/tip-left-pane.md)]
 
-A Folder (`uri_folder`) data source type points to a *folder* on a storage resource (for example, a folder containing several subfolders of images). Use these steps to create a Folder type data resource in Azure AI Foundry portal:
+These steps explain how to add an existing file, folder, or table data resource from Azure Storage to your hub based project workspace in the Azure AI Foundry portal:
 
-1. Navigate to [Azure AI Foundry](https://ai.azure.com/?cid=learnDocs)
+1. Navigate to the [Azure AI Foundry](https://ai.azure.com/?cid=learnDocs).
 
-1. Select the project where you want to create the data.
+1. Select the hub based project where you want to add the data.
 
-1. From the collapsible **Components** menu on the left, select **Data**.
+1. From the collapsible **My assets** menu on the left, select **Data + indexes**, then select **New data** as shown in this screenshot:
 
     :::image type="content" source="../media/data-add/add-data.png" alt-text="Screenshot highlighting New Data in the Data tab.":::
 
-1.  Choose your **Data source**. To choose a data source, you have two options.
-    1. Select **Get data with Storage URL** if you have a direct URL to a storage account or a public accessible HTTPS server
-    1. Select **Upload files/folders** to upload a folder from your local drive
-
-    - **Get data with Storage URL**: You can choose the **Type** as "Folder", and provide a URL based on the supported URL formats listed on that page.
-
-       :::image type="content" source="../media/data-add/folder-url.png" alt-text="This screenshot shows the step to provide a URL that points to a folder.":::
-
-    - **Upload files/folders**: You can select **Upload files/folders**, select **Upload folder**, and choose the local file to upload. The file resources upload into the default "workspaceblobstore" connection.
-
-       :::image type="content" source="../media/data-add/upload-folder.png" alt-text="This screenshot shows how to upload a folder.":::
+1. Select **Get data with storage URL** as your **Data source**. 
+1. Then choose the *File*, *Folder*, or *Table* as the data **Type**, and then provide a URL based on the supported URL formats listed on that page.    
 
 1. Select **Next** after you choose the data source.
 
 1. Enter a custom name for your data, and then select **Create**.
 
-    :::image type="content" source="../media/data-connections/data-add-finish.png" alt-text="Screenshot of naming the data." lightbox="../media/data-connections/data-add-finish.png":::
+:::image type="content" source="../media/data-add/data-add-finish.png" alt-text="This screenshot shows the naming step for the data source." lightbox="../media/data-connections/data-add-finish.png":::
 
 ## Manage data
 
+After you add data to your hub based project, you can you can delete, archive, restore, tag, archive, and preview the data in the Azure AI Foundry.
+
 ### Delete data
 
 > [!IMPORTANT]