Create Informatica Mappings From/To a JDBC Data Source for Azure Analysis Services

Informatica provides a powerful, elegant means of transporting and transforming your data. By utilizing the CData JDBC Driver for Azure Analysis Services, you are gaining access to a driver based on industry-proven standards that integrates seamlessly with Informatica's powerful data transportation and manipulation features. This tutorial shows how to transfer and browse Azure Analysis Services data in Informatica PowerCenter.

Deploy the Driver

To deploy the driver to the Informatica PowerCenter server, copy the CData JAR and .lic file, located in the lib subfolder in the installation directory, to the following folder: Informatica-installation-directory\services\shared\jars\thirdparty.

To work with Azure Analysis Services data in the Developer tool, you will need to copy the CData JAR and .lic file, located in the lib subfolder in the installation directory, into the following folders:

• Informatica-installation-directory\client\externaljdbcjars
• Informatica-installation-directory\externaljdbcjars

Create the JDBC Connection

Follow the steps below to connect from Informatica Developer:

1. In the Connection Explorer pane, right-click your domain and click Create a Connection.
2. In the New Database Connection wizard that is displayed, enter a name and Id for the connection and in the Type menu select JDBC.
3. In the JDBC Driver Class Name property, enter:

   cdata.jdbc.aas.AASDriver

4. In the Connection String property, enter the JDBC URL, using the connection properties for Azure Analysis Services.

   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.

   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.

   👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)
   

   A typical connection string is below:

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

Browse Azure Analysis Services Tables

After you have added the driver JAR to the classpath and created a JDBC connection, you can now access Azure Analysis Services entities in Informatica. Follow the steps below to connect to Azure Analysis Services and browse Azure Analysis Services tables:

1. Connect to your repository.
2. In the Connection Explorer, right-click the connection and click Connect.
3. Clear the Show Default Schema Only option. 👁 The driver models Azure Analysis Services entities as relational tables. (Salesforce is shown.)
   

You can now browse Azure Analysis Services tables in the Data Viewer: Right-click the node for the table and then click Open. On the Data Viewer view, click Run.

Create Azure Analysis Services Data Objects

Follow the steps below to add Azure Analysis Services tables to your project:

1. Select tables in Azure Analysis Services, then right-click a table in Azure Analysis Services, and click Add to Project.
2. In the resulting dialog, select the option to create a data object for each resource.
3. In the Select Location dialog, select your project.

   Create a Mapping

   Follow the steps below to add the Azure Analysis Services source to a mapping:

   1. In the Object Explorer, right-click your project and then click New -> Mapping.
   2. Expand the node for the Azure Analysis Services connection and then drag the data object for the table onto the editor.
   3. In the dialog that appears, select the Read option.
   👁 The source Azure Analysis Services table in the mapping. (Salesforce is shown.)
   

   Follow the steps below to map Azure Analysis Services columns to a flat file:

   1. In the Object Explorer, right-click your project and then click New -> Data Object.
   2. Select Flat File Data Object -> Create as Empty -> Fixed Width.
   3. In the properties for the Azure Analysis Services object, select the rows you want, right-click, and then click copy. Paste the rows into the flat file properties.
   4. Drag the flat file data object onto the mapping. In the dialog that appears, select the Write option.
   5. Click and drag to connect columns.

   To transfer Azure Analysis Services data, right-click in the workspace and then click Run Mapping.

   👁 The completed mapping. (Salesforce is shown.)