Create Gmail 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 Gmail data for visualizations, dashboards, and more. This article shows how to create a virtual database for Gmail and build reports from Gmail data in Bold BI.

CData Connect Server provides a pure SQL Server interface for Gmail, allowing you to easily build reports from live Gmail 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 Gmail, leveraging server-side processing to quickly return the requested Gmail data.

Create a Virtual SQL Server Database for Gmail 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 "Gmail" from Available Data Sources.
4. 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 Gmail data from Bold BI.

Visualize Live Gmail Data in Bold BI

The steps below outline connecting to CData Connect Server from Bold BI to create a new Gmail 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 Gmail on-demand or choose Extract to load the data into Bold BI
   • Database: Choose the database you created from the drop-down menu (gmaildb)
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 Gmail Data from Applications

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

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