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Get the Report →Integrate Adobe Analytics Data in Pentaho Data Integration
Build ETL pipelines based on Adobe Analytics data in the Pentaho Data Integration tool.
The CData JDBC Driver for Adobe Analytics enables access to live data from data pipelines. Pentaho Data Integration is an Extraction, Transformation, and Loading (ETL) engine that data, cleanses the data, and stores data using a uniform format that is accessible.This article shows how to connect to Adobe Analytics data as a JDBC data source and build jobs and transformations based on Adobe Analytics data in Pentaho Data Integration.
Configure to Adobe Analytics Connectivity
Adobe Analytics uses the OAuth authentication standard. To authenticate using OAuth, create an app to obtain the OAuthClientId, OAuthClientSecret, and CallbackURL connection properties. See the "Getting Started" section of the help documentation for a guide.
Retrieving GlobalCompanyId
GlobalCompanyId is a required connection property. If you do not know your Global Company ID, you can find it in the request URL for the users/me endpoint on the Swagger UI. After logging into the Swagger UI Url, expand the users endpoint and then click the GET users/me button. Click the Try it out and Execute buttons. Note your Global Company ID shown in the Request URL immediately preceding the users/me endpoint.
Retrieving Report Suite Id
Report Suite ID (RSID) is also a required connection property. In the Adobe Analytics UI, navigate to Admin -> Report Suites and you will get a list of your report suites along with their identifiers next to the name.
After setting the GlobalCompanyId, RSID and OAuth connection properties, you are ready to connect to Adobe Analytics.
Built-in Connection String Designer
For assistance in constructing the JDBC URL, use the connection string designer built into the Adobe Analytics JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.adobeanalytics.jar
Fill in the connection properties and copy the connection string to the clipboard.

When you configure the JDBC URL, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.
Below is a typical JDBC URL:
jdbc:adobeanalytics:GlobalCompanyId=myGlobalCompanyId; RSID=myRSID; OAuthClientId=myOauthClientId; OauthClientSecret=myOAuthClientSecret; CallbackURL=myCallbackURL;
Save your connection string for use in Pentaho Data Integration.
Connect to Adobe Analytics from Pentaho DI
Open Pentaho Data Integration and select "Database Connection" to configure a connection to the CData JDBC Driver for Adobe Analytics
- Click "General"
- Set Connection name (e.g. Adobe Analytics Connection)
- Set Connection type to "Generic database"
- Set Access to "Native (JDBC)"
- Set Custom connection URL to your Adobe Analytics connection string (e.g.
jdbc:adobeanalytics:GlobalCompanyId=myGlobalCompanyId; RSID=myRSID; OAuthClientId=myOauthClientId; OauthClientSecret=myOAuthClientSecret; CallbackURL=myCallbackURL;
- Set Custom driver class name to "cdata.jdbc.adobeanalytics.AdobeAnalyticsDriver"
- Test the connection and click "OK" to save.
Create a Data Pipeline for Adobe Analytics
Once the connection to Adobe Analytics is configured using the CData JDBC Driver, you are ready to create a new transformation or job.
- Click "File" >> "New" >> "Transformation/job"
- Drag a "Table input" object into the workflow panel and select your Adobe Analytics connection.
- Click "Get SQL select statement" and use the Database Explorer to view the available tables and views.
- Select a table and optionally preview the data for verification.
At this point, you can continue your transformation or jb by selecting a suitable destination and adding any transformations to modify, filter, or otherwise alter the data during replication.

Free Trial & More Information
Download a free, 30-day trial of the CData JDBC Driver for Adobe Analytics and start working with your live Adobe Analytics data in Pentaho Data Integration today.