Connect to Azure Analysis Services Data in the Denodo Platform

Denodo Platform is a data virtualization product providing a single point of contact for enterprise database data. When paired with the CData JDBC Driver for Azure Analysis Services, Denodo users can work with live Azure Analysis Services data alongside other enterprise data sources. This article walks through creating a virtual data source for Azure Analysis Services in the Denodo Virtual DataPort Administrator.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Azure Analysis Services data. When you issue complex SQL queries to Azure Analysis Services, the driver pushes supported SQL operations, like filters and aggregations, directly to Azure Analysis Services and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze Azure Analysis Services data using native data types.

Create the Azure Analysis Services Virtual Port

To connect to live Azure Analysis Services data from Denodo, you need to copy the JDBC Driver JAR file to the external library directory for Denodo and create a new JDBC Data Source from the Virtual DataPort Administrator tool.

1. Download the CData JDBC Driver for Azure Analysis Services installer, unzip the package, and run the JAR file to install the driver.
2. Copy the JAR File (and license file if it exists) from the installation location (typically C:\Program Files\CData\CData JDBC Driver for Azure Analysis Services\lib\) to the Denodo external library directory (C:\Denodo\Denodo Platform\lib-external\jdbc-drivers\cdata-aas-19).
3. Open the Denodo Virtual DataPort Administrator tool and navigate to the Server Explorer tab.
4. Right-click "admin" and select New -> Data source -> JDBC.
5. Configure the JDBC Connection:
   • Name: your choice, e.g.: aas
   • Database adapter: Generic
   • Driver class path: C:\Denodo\Denodo Platform\lib-external\jdbc-drivers\cdata-aas-19
   • Driver class: cdata.jdbc.aas.AASDriver

   • Database URI: Set this to a JDBC URL using the necessary connection properties. For example,

     jdbc:aas:URL=asazure://REGION.asazure.windows.net/server;InitiateOAuth=GETANDREFRESH

     Information on creating the Database URI follows:

     Built-In Connection String Designer

     For assistance in constructing the JDBC URL, use the connection string designer built into the Azure Analysis Services JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

     java -jar cdata.jdbc.aas.jar

     Fill in the connection properties and copy the connection string to the clipboard.

     To connect to Azure Analysis Services, set the Url property to a valid server, for instance, asazure://southcentralus.asazure.windows.net/server, in addition to authenticating. Optionally, set Database to distinguish which Azure database on the server to connect to.

     Azure Analysis Services uses the OAuth authentication standard. OAuth requires the authenticating user to interact with Azure Analysis Services using the browser. You can connect without setting any connection properties for your user credentials. See the Help documentation for more information.

6. Click the "Test connection" button to confirm the configuration and click Save.

View Azure Analysis Services Data in the VirtualPort Administrator Tool

After creating the data source, you can create a base view of Azure Analysis Services data for use in the Denodo Platform.

1. Click the "Create base view" button in the newly created VirtualPort (admin.AAS).
2. Expand the object tree and select the objects (tables) you wish to import.
3. Click the "Create selected" button to create views of the Azure Analysis Services data.
   Optional: Click "Create associations from foreign keys" to define relationships between the objects.
4. With the view(s) created, navigate to a table (cdata_aas_customer) in the Server Explorer and double-click the selected table.
5. In the new tab, click "Execution panel" to open a query panel.
6. Customize the query in the "Execute" tab or use the default:

   SELECT * FROM cdata_aas_customer CONTEXT ('i18n'='us_est', 'cache_wait_for_load'='true')
   

7. Click Execute to view the data.

With the base view created, you can now work with live Azure Analysis Services data like you would any other data source in Denodo Platform, for example, querying Azure Analysis Services in the Denodo Data Catalog.

Download a free, 30-day trial of the CData JDBC Driver for Azure Analysis Services and start working with your live Azure Analysis Services data in Denodo Platform. Reach out to our Support Team if you have any questions.