Create Google Data Catalog Dashboards in Bold BI

Bold BI allows you to create, share, and collaborate on interactive BI dashboards. When paired with CData Connect Server, you get instant access to Google Data Catalog data for visualizations, dashboards, and more. This article shows how to create a virtual database for Google Data Catalog and build reports from Google Data Catalog data in Bold BI.

CData Connect Server provides a pure SQL Server interface for Google Data Catalog, allowing you to easily build reports from live Google Data Catalog data in Bold BI — without replicating the data to a natively supported database. As you build visualizations, Bold BI generates SQL queries to gather data. Using optimized data processing out of the box, CData Connect Server pushes all supported SQL operations (filters, JOINs, etc) directly to Google Data Catalog, leveraging server-side processing to quickly return the requested Google Data Catalog data.

Create a Virtual SQL Server Database for Google Data Catalog Data

CData Connect Server uses a straightforward, point-and-click interface to connect to data sources and generate APIs.

1. Login to Connect Server and click Connections.
2. Select "Google Data Catalog" from Available Data Sources.
3. Enter the necessary authentication properties to connect to Google Data Catalog.

   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:

   • OrganizationId: The ID associated with the Google Cloud Platform organization resource you would like to connect to. Find this by navigating to the cloud console.

     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.

   • ProjectId: The ID associated with the Google Cloud Platform project resource you would like to connect to.

     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.

4. Click Save Changes
5. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

With the virtual database created, you are ready to connect to Google Data Catalog data from Bold BI.

Visualize Live Google Data Catalog Data in Bold BI

The steps below outline connecting to CData Connect Server from Bold BI to create a new Google Data Catalog data source and build a simple visualization from the data.

1. Log into your Bold BI instance, click the data sources tab, create a new data source, and choose the SQL Server connector.
2. Choose the basic configuration and set the connection properties:
   • Name: Name your connection
   • Server name: Your Connect Server instance (CONNECT_SERVER_URL)
   • Port: 1433
   • Username: Your Connect Server username
   • Password: Your Connect Server password
   • Mode: Choose Live to query Google Data Catalog on-demand or choose Extract to load the data into Bold BI
   • Database: Choose the database you created from the drop-down menu (googledatacatalogdb)
3. Click Connect
4. Select the table to visualize and drag it onto the workspace.
5. Select a visualization style and add it to the report.
6. Click the gear icon for the visualization to configure the visualization properties and assign columns to the visualization.

SQL Access to Google Data Catalog Data from Applications

Now you have a direct connection to live Google Data Catalog data from your Bold BI workbook. You can create more data sources and new visualizations, build reports, and more — all without replicating Google Data Catalog data.

To get SQL data access to 200+ SaaS, Big Data, and NoSQL sources directly from your applications, see the CData Connect page.