Build Dashboards with BigQuery Data in Dundas BI

The CData ODBC Driver for BigQuery enables access to live data from BigQuery under the ODBC standard, allowing you work with BigQuery data in a wide variety of BI, reporting, and ETL tools and directly, using familiar SQL queries. This article shows how to connect to BigQuery data as a generic ODBC Data Provider and create charts, reports, and dashboards based on BigQuery data in Dundas BI.

Getting Started

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Connect to BigQuery Data

1. If you have not already done so, provide values for the required connection properties in the data source name (DSN). You can configure the DSN using the built-in Microsoft ODBC Data Source Administrator. This is also the last step of the driver installation. See the "Getting Started" chapter in the Help documentation for a guide to using the Microsoft ODBC Data Source Administrator to create and configure a DSN.
   
   

   Google uses the OAuth authentication standard. To access Google APIs on behalf of individual users, you can use the embedded credentials or you can register your own OAuth app.

   OAuth also enables you to use a service account to connect on behalf of users in a Google Apps domain. To authenticate with a service account, you will need to register an application to obtain the OAuth JWT values.

   In addition to the OAuth values, you will need to specify the DatasetId and ProjectId. See the "Getting Started" chapter of the help documentation for a guide to using OAuth.

   When you configure the DSN, 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.

2. Open the Dundas BI interface, open the menu, and click New Data Connector.
3. Configure the Dundas BI Data Connector:
   • Name the Data Connector.
   • Select "ODBC generic" as the Data Provider.
   • Check the "Use System DSN" checkbox.
   • Select the appropriate System DSN.

Add BigQuery Data to a Dashboard

You are now ready to create a dashboard with BigQuery data.

1. Navigate to the Home page.
2. Click Explore Data.
3. Expand the appropriate Data Connector.
4. Drag the relevant data from the Connector to the panel.
   • You can select an entire "table" to add, but you may need to remove Measures/Rows from the Metric Set to build an appropriate visualization. Alternatively, you can select only the fields you wish to include in the visualization.
   • With the fields selected, you can add any filters or conditions on the Measures and Rows, further customizing the visualization.
5. Click Re-visualize from the menu bar and select the appropriate visualization for the data.
6. Click Add To New Dashboard to add the visualization to a new dashboard.
7. Configure the dashboard, creating dynamic visualizations of BigQuery data.