Establish a Live Connection with SQL Server Data using Tableau Bridge

The Tableau Bridge enables you to publish dashboards to Tableau Cloud while maintaining live connectivity with any data source. In this article, you will use the Tableau Bridge to maintain data freshness in a published workbook by listening for changes in the underlying SQL Server data.

The CData ODBC drivers offer unmatched performance for interacting with live SQL Server data in Tableau Cloud due to optimized data processing built into the driver. When you issue complex SQL queries from Tableau Cloud to SQL Server, the driver pushes supported SQL operations, like filters and aggregations, directly to SQL Server and utilizes the embedded SQL engine to process unsupported operations (often SQL functions and JOIN operations) client-side. With built-in dynamic metadata querying, you can visualize and analyze SQL Server data using native Tableau data types.

Connect to SQL Server as an ODBC Data Source

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

Connecting to Microsoft SQL Server

Connect to Microsoft SQL Server using the following properties:

• Server: The name of the server running SQL Server.
• User: The username provided for authentication with SQL Server.
• Password: The password associated with the authenticating user.
• Database: The name of the SQL Server database.

Connecting to Azure SQL Server and Azure Data Warehouse

You can authenticate to Azure SQL Server or Azure Data Warehouse by setting the following connection properties:

• Server: The server running Azure. You can find this by logging into the Azure portal and navigating to "SQL databases" (or "SQL data warehouses") -> "Select your database" -> "Overview" -> "Server name."
• User: The name of the user authenticating to Azure.
• Password: The password associated with the authenticating user.
• Database: The name of the database, as seen in the Azure portal on the SQL databases (or SQL warehouses) page.

SSH Connectivity for SQL Server

You can use SSH (Secure Shell) to authenticate with SQL Server, whether the instance is hosted on-premises or in supported cloud environments. SSH authentication ensures that access is encrypted (as compared to direct network connections).

SSH Connections to SQL Server in Password Auth Mode

To connect to SQL Server via SSH in Password Auth mode, set the following connection properties:

• User: SQL Server User name
• Password: SQL Server Password
• Database: SQL Server database name
• Server: SQL Server Server name
• Port: SQL Server port number like 3306
• UserSSH: "true"
• SSHAuthMode: "Password"
• SSHPort: SSH Port number
• SSHServer: SSH Server name
• SSHUser: SSH User name
• SSHPassword: SSH Password

SSH Connections to SQL Server in Public Key Auth Mode

To connect to SQL Server via SSH in Password Auth mode, set the following connection properties:

• User: SQL Server User name
• Password: SQL Server Password
• Database: SQL Server database name
• Server: SQL Server Server name
• Port: SQL Server port number like 3306
• UserSSH: "true"
• SSHAuthMode: "Public_Key"
• SSHPort: SSH Port number
• SSHServer: SSH Server name
• SSHUser: SSH User name
• SSHClientCret: the path for the public key certificate file

When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

Add SQL Server Data to a Dashboard

1. From a new workbook, click Data -> New Data Source -> Other Databases (ODBC).
   Select the CData Data Source Name (for example: CData SQL Source).
2. In the Database menu, select CData.
3. In the Table box, enter a table name or click New Custom SQL to enter an SQL query. This article retrieves the Orders table.
4. Drag the table onto the join area. At this point, you can include multiple tables, leveraging the built-in SQL engine to process complex data requests.
5. Click the tab for your worksheet. Columns are listed as Dimensions and Measures, which you can drag and drop onto the dashboard to create visualizations. 👁 A connection to a single table. (Salesforce is shown.)
   

Set Up Tableau Bridge as a Service

1. In the Server menu, select Start Tableau Bridge Client.
2. Sign in to the Tableau Bridge using a site admin level account.
3. If prompted, select the Tableau Cloud site where you want to publish live data. The bridge client will open and is accessible from the system tray.
4. By default, the Tableau Bridge client is set to Application mode. Select 'Switch to service' to enable Tableau Bridge to handle live connections.
5. Log in to your Tableau Cloud site as an administrator.
6. From your site, click Settings, then Bridge. 👁 The Tableau Bridge settings within Tableau Cloud.
   
7. In the Bridge settings, under Enable Clients to Maintain Live Connections, check the box labeled 'Enable Tableau Bridge clients to maintain live connections to on-premises data.'

Publish a Dashboard Containing the Live Data Source

Having configured both the Tableau Bridge and Tableau Cloud to enable live data connections, you can now publish your workbook to Tableau Cloud. From the Server menu, select Publish Workbook.

👁 Deployment of a workbook containing a live data source. (Salesforce is shown.)

After choosing the workbook name and project that you wish to publish to, configure the deployment so that the CData ODBC driver for SQL Server is embedded in your workbook as a separate, live data source.

1. Under Data Sources, select the option to Edit the embedded data sources in the workbook.
2. Change Publish Type to 'Published separately,' then select a desired means of authentication.
3. Last, select 'Maintain connection to a live data source' and click the green Publish Workbook button.

The published workbook now updates alongside the underlying SQL Server data. From a published dashboard, simply click the Refresh button to reflect the most recent changes.