After Installing the Connector you can connect and create a Data Source for data in Databricks.

Setting Up a Data Source

Complete the following steps to connect to the data:

1. Under Connect | To a Server, click More....
2. Select the data source called Databricks by CData.
3. Enter the information required for the connection.
4. Click Sign In.
5. If necessary, select a Database and Schema to discover what tables and views are available.

Using the Connection Builder

The connector makes the most common connection properties available directly in Tableau. However, it can be difficult to use if you need to use more advanced settings or need to troubleshoot connection issues. The connector includes a separate connection builder that allows you to create and test connections outside of Tableau.

There are two ways to access the connection builder:

• On Windows, use a shortcut called Connection Builder in the Start menu, under the CData Tableau Connector for Databricks folder.
• You can also start the connection builder by going to the driver install directory and running the .jar file in the lib directory.

In the connection builder, you can set values for connection properties and click Test Connection to validate that they work. You can also use the Copy to Clipboard button to save the connection string. This connection string can be given to the Connection String option included in the connector connection window in Tableau.

Connecting to Databricks

To connect to a Databricks cluster, set the following properties:

• Database: The name of the Databricks database.
• Server: The Server Hostname of your Databricks cluster.
• HTTPPath: The HTTP Path of your Databricks cluster.
• Token: Your personal access token. You can obtain this value by navigating to the User Settings page of your Databricks instance and selecting the Access Tokens tab.

You can find the required values in your Databricks instance by navigating to Clusters and selecting the desired cluster, and selecting the JDBC/ODBC tab under Advanced Options.

Configuring Cloud Storage

The connector supports DBFS, Azure Blob Storage, and AWS S3 for uploading CSV files.

DBFS Cloud Storage

To use DBFS for cloud storage, set the CloudStorageType property to DBFS.

Azure Blob Storage

Set the following properties:

• CloudStorageType: Azure Blob storage.
• StoreTableInCloud: True to store tables in cloud storage when creating a new table.
• AzureStorageAccount: The name of your Azure storage account.
• AzureAccessKey: The storage key associated with your Databricks account. Find this via the azure portal (using the root account). Select your storage account and click Access Keys to find this value.
• AzureBlobContainer: Set to the name of you Azure Blob storage container.

AWS S3 Storage

Set the following properties:

• CloudStorageType: AWS S3.
• StoreTableInCloud: True to store tables in cloud storage when creating a new table.
• AWSAccessKey: The AWS account access key. You can acquire this value from your AWS security credentials page.
• AWSSecretKey: Your AWS account secret key. You can acquire this value from your AWS security credentials page.
• AWSS3Bucket: The name of your AWS S3 bucket.
• AWSRegion: The hosting region for your Amazon Web Services. You can obtain the AWS Region value by navigating to the Buckets List page of your Amazon S3 service, for example, us-east-1.

Authenticating to Databricks

CData supports the following authentication schemes:

• Basic
• Personal Access Token
• Azure Active Directory (AD)
• Azure Service Principal

Basic

Basic authentication requires a username and password. Set the following:

• AuthScheme: Basic.
• User: Your username. This overrides the default value ("Token").
• Token: Your password.

Personal Access Token

To authenticate, set the following:

• AuthScheme: PersonalAccessToken.
• Token: The token used to access the Databricks server. It can be obtained by navigating to the User Settings page of your Databricks instance and selecting the Access Tokens tab.

Azure Active Directory

To authenticate, follow these steps:

1. Register an application with the AzureAD (now known as Microsoft Entra ID) endpoint in the Azure portal. See Configure an app in Azure portal for how to create and register the application. Alternatively, you can use a AzureAD application that is already registered.

2. Set these properties:
   • AzureTenant: The "Directory(tenant) ID" in the AzureAD application "Overview" page
   • OAuthClientId: The "Application(client) ID" in the AzureAD application "Overview" page.
   • CallbackURL: The "Redirect URIs" in AzureAD application "Authentication" page

3. When connecting, a web page opens that prompts you to authenticate. After successful authentication, the connection is established.

Here is an example of the connection string:

"Server=https://adb-8439982502599436.16.azuredatabricks.net;HTTPPath=sql/protocolv1/o/8439982502599436/0810-011933-odsz4s3r;database=default;
AuthScheme=AzureAD;InitiateOAuth=GETANDREFRESH;AzureTenant=94be69e7-edb4-4fda-ab12-95bfc22b232f;OAuthClientId=f544a825-9b69-43d9-bec2-3e99727a1669;CallbackURL=http://localhost;"

Azure AD Service Principal

To authenticate, set the following properties:

• AuthScheme: AzureServicePrincipal.
• AzureTenantId: The tenant ID of your Microsoft Azure Active Directory.
• AzureClientId: The application (client) ID of your Microsoft Azure Active Directory application.
• AzureClientSecret: The application (client) secret of your Microsoft Azure Active Directory application.
• AzureSubscriptionId: The Subscription Id of your Microsoft Azure Databricks Service Workspace.
• AzureResourceGroup: The Resource Group name of your Microsoft Azure Databricks Service Workspace.
• AzureWorkspace: The name of your Microsoft Azure Databricks Service Workspace.

Next Step

See Using the Connector to create data visualizations.