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

Informatica provides a powerful, elegant means of transporting and transforming your data. By utilizing the CData JDBC Driver for Azure Data Catalog, 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 Data Catalog 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 Data Catalog 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.azuredatacatalog.AzureDataCatalogDriver
4. In the Connection String property, enter the JDBC URL, using the connection properties for Azure Data Catalog.

   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.

   Built-in Connection String Designer

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

   java -jar cdata.jdbc.azuredatacatalog.jar

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

   A typical connection string is below:

   jdbc:azuredatacatalog:InitiateOAuth=GETANDREFRESH

Browse Azure Data Catalog Tables

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

You can now browse Azure Data Catalog 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 Data Catalog Data Objects

Follow the steps below to add Azure Data Catalog tables to your project:

1. Select tables in Azure Data Catalog, then right-click a table in Azure Data Catalog, 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 Data Catalog 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 Data Catalog connection and then drag the data object for the table onto the editor.
   3. In the dialog that appears, select the Read option.

   Follow the steps below to map Azure Data Catalog 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 Data Catalog 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 Data Catalog data, right-click in the workspace and then click Run Mapping.