This guide will teach you how to authenticate with Foundry via Tableau, select a dataset, and get started building your first interactive dashboard.
In the Foundry by Palantir dialog box, enter your Foundry URL in the Server field. You can find your Foundry URL by logging in, copying the URL, and deleting the https://
prefix as well as anything after .com
.
For example, if your Foundry hyperlink is https://myfoundrylink.palantir.com/workspace/home
, you should input myfoundrylink.palantir.com
into the Tableau prompt.
There are two options for authenticating with Foundry: Foundry OAuth or Foundry Token. In most circumstances, we recommend using OAuth for a simpler authentication process.
https://
followed by the same URL you entered in the Server field.If you receive an error when logging in to Foundry, it is likely your organization has not yet enabled the OAuth login option for Tableau. In this case, contact your Foundry administrator for support, referencing the instructions for enabling the OAuth client.
If you intend to publish your report to Tableau Server with embedded credentials when using OAuth, you first need to configure credentials on Tableau Server by navigating to My Account Settings > Saved Credentials for Data Sources in Tableau Server. Refer to the Tableau documentation on Manage saved credentials for data connections ↗ for more information.
After following these instructions, you should now see your Foundry environment listed under Connections in the left sidebar.
To start working with a specific dataset, use the navigation options in the left sidebar. Under the Database section, select a Foundry Project from the dropdown menu. Then under the Table section, use the search field to find a dataset by its name or full path.
Once you have loaded your dataset, choose the Connection mode (Live or Extract) and continue creating your Tableau dashboard as usual.
Higher data scale can be processed by using Tableau Data Extracts ↗, and ensuring that queries are "direct read eligible" when processed by Foundry SQL Server. See Architecture for details about direct read functionality.