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Azure Data Catalog Icon Azure Data Catalog ODBC Driver

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

Access Azure Data Catalog data like you would a database - read, write, and update Azure Data Catalog Schemas, Tables, etc. through a standard ODBC Driver interface.

Create SSAS Tabular Models from Azure Data Catalog Data



How to build a SQL Server Analysis Service Tabular Model from Azure Data Catalog data using the CData ODBC Driver for Azure Data Catalog.

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 Azure Data Catalog, you can create a tabular model from Azure Data Catalog data for deeper and faster data analysis.

Create a Connection to Azure Data Catalog 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.

You can optionally set the following to read the different catalog data returned from Azure Data Catalog.

    CatalogName: Set this to the CatalogName associated with your Azure Data Catalog. To get your Catalog name, navigate to your Azure Portal home page > Data Catalog > Catalog Name

Connect Using OAuth Authentication

You must use OAuth to authenticate with Azure Data Catalog. OAuth requires the authenticating user to interact with Azure Data Catalog using the browser. For more information, refer to the OAuth section in the help documentation.

Creating a Data Source for Azure Data Catalog

Start by creating a new Analysis Services Tabular Project in Visual Studio. Next create a Data Source for Azure Data Catalog 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 Azure Data Catalog 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 Azure Data Catalog.