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Sisense lets you join, analyze, and picture data to make more intelligent business decisions and craft effective strategies. The CData JDBC Driver for Google Data Catalog makes it easy to integrate with Google Data Catalog data in Sisense. This article shows how to create an ElastiCube that connects to Google Data Catalog data and use the ElastiCube to visualize Google Data Catalog data in Sisense.
Before creating the ElastiCube, note the installation location for the JAR file for the JDBC Driver (typically C:\Program Files\CData\CData JDBC Driver for Google Data Catalog 20XX\lib) or copy the jar file (cdata.jdbc.googledatacatalog.GoogleDataCatalog.jar) to a new folder in the Sisense JDBC driver directory (typically C:\ProgramData\Sisense\DataConnectors\jdbcdrivers).
Google Data Catalog uses the OAuth authentication standard. Authorize access to Google APIs on behalf on individual users or on behalf of users in a domain.
Before connecting, specify the following to identify the organization and project you would like to connect to:
Click the project selection drop-down, and select your organization from the list. Then, click More -> Settings. The organization ID is displayed on this page.
Find this by navigating to the cloud console dashboard and selecting your project from the Select from drop-down. The project ID will be present in the Project info card.
When you connect, the OAuth endpoint opens in your default browser. Log in and grant permissions to the application to completes the OAuth process. For more information, refer to the OAuth section in the Help documentation.
For assistance in constructing the JDBC URL, use the connection string designer built into the Google Data Catalog JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.googledatacatalog.jar
Fill in the connection properties and copy the connection string to the clipboard.
π Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)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.
A typical example follows:
jdbc:googledatacatalog:ProjectId=YourProjectId;InitiateOAuth=GETANDREFRESH;
Once you are connected to Google Data Catalog, you can add views to your ElastiCubes.
With Google Data Catalog tables added to your ElastiCube, you can perform analytics on your Google Data Catalog data.
With the CData JDBC Driver for Google Data Catalog, you can access Google Data Catalog data right in Sisense for powerful visualization and analytics. Download a free, 30-day trial and start working with Google Data Catalog data in Sisense today!
Download a free trial of the Google Data Catalog Driver to get started:
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π Google Data Catalog IconRapidly create and deploy powerful Java applications that integrate with Google Data Catalog.