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The Databricks ODBC Driver is a powerful tool that allows you to connect with live data from Databricks, directly from any applications that support ODBC connectivity.

Access Databricks data like you would a database - read, write, and update through a standard ODBC Driver interface.

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Create SSAS Tabular Models from Databricks Data


How to build a SQL Server Analysis Service Tabular Model from Databricks data using CData drivers.

SQL Server Analysis Services (SSAS) is an analytical data engine used in decision support and business analytics. It provides enterprise-grade semantic data models for business reports and client applications, such as Power BI, Excel, Reporting Services reports, and other data visualization tools. When paired with the CData ODBC Driver for Databricks, you can create a tabular model from Databricks data for deeper and faster data analysis.

Create a Connection to Databricks Data

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.

To connect to a Databricks cluster, set the properties as described below.

Note: The needed values can be found in your Databricks instance by navigating to Clusters, and selecting the desired cluster, and selecting the JDBC/ODBC tab under Advanced Options.

  • Server: Set to the Server Hostname of your Databricks cluster.
  • HTTPPath: Set to the HTTP Path of your Databricks cluster.
  • Token: Set to your personal access token (this value can be obtained by navigating to the User Settings page of your Databricks instance and selecting the Access Tokens tab).

Creating a Data Source for Databricks

Start by creating a new Analysis Services Tabular Project in Visual Studio. Next create a Data Source for Databricks in the project.

  1. In the Tabular Model Explorer, right-click Data Sources and select "New Data Source"
  2. Select "ODBC" from the Other tab and click "Connect"
  3. Select the DSN you previously configured
  4. Choose "Default or Custom" as the authentication option and click "Connect"

Add Tables & Relationships

After creating the data source you are ready to import tables and define the relationships between the tables.

  1. Right-click the new data source, click "Import New Tables" and select the tables to import
  2. After importing the tables, right-click "Relationships" and click "Create Relationships"
  3. Select table(s), and choose the foreign keys, cardinality, and filter direction

Create Measures

After importing the tables and defining the relationships, you are ready to create measures.

  1. Select the column in the table for which you wish to create a measure
  2. In the Extensions menu -> click "Columns" -> "AutoSum" and select your aggregation method

Deploy the Model

Once you create measures, you are ready to deploy the model. Configure the target server and database by right-clicking the project and selecting "Properties." Configure the "Deployment Server" properties and click "OK."

After configuring the deployment server, open the "Build" menu and click "Deploy Solution." You now have a tabular model for Databricks data in your SSAS instance, ready to be analyzed, reported, and viewed. Get started with a free, 30-day trial of the CData ODBC Driver for Databricks.