Model Context Protocol (MCP) finally gives AI models a way to access the business data needed to make them really useful at work. CData MCP Servers have the depth and performance to make sure AI has access to all of the answers.
Try them now for free →
Analyze BigQuery Data in Infragistics Reveal
Use the CData API Server to create an OData API on top of BigQuery data and visualize live BigQuery data in Ingragistics Reveal.
Reveal is a data visualization solution provided by Infragistics and can be paired with the CData API Server to build dynamic dashboards from live BigQuery data. The CData API Server generates an OData API for BigQuery, which is natively consumable in Reveal. In this article, we walk through connecting to BigQuery in API Server and connecting to the API Server from Infragistics Reveal to create a simple dashboard.
About BigQuery Data Integration
CData simplifies access and integration of live Google BigQuery data. Our customers leverage CData connectivity to:
- Simplify access to BigQuery with broad out-of-the-box support for authentication schemes, including OAuth, OAuth JWT, and GCP Instance.
- Enhance data workflows with Bi-directional data access between BigQuery and other applications.
- Perform key BigQuery actions like starting, retrieving, and canceling jobs; deleting tables; or insert job loads through SQL stored procedures.
Most CData customers are using Google BigQuery as their data warehouse and so use CData solutions to migrate business data from separate sources into BigQuery for comprehensive analytics. Other customers use our connectivity to analyze and report on their Google BigQuery data, with many customers using both solutions.
For more details on how CData enhances your Google BigQuery experience, check out our blog post: https://www.cdata.com/blog/what-is-bigquery
Getting Started
Connect to BigQuery from API Server
CData API Server uses a straightforward, point-and-click interface to connect to data sources and generate APIs.
- Open API Server and click Settings -> Connection -> Add Connection
- Select "BigQuery"
- Enter the necessary authentication properties to connect to BigQuery.
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, register an application to obtain the OAuth JWT values.
In addition to the OAuth values, specify the DatasetId and ProjectId. See the "Getting Started" chapter of the help documentation for a guide to using OAuth.
Add BigQuery Resource Definitions in API Server
After connecting to BigQuery, create Resources, which represent API endpoints for BigQuery data.
- Click Settings -> Resources -> Add Resource
- Select the BigQuery connection
- Select the table you wish to retrieve and click Next
- (Optional) Edit the resource to select specific fields and more
- Save the settings
Add an API Server User
Create a User to connect to BigQuery from Reveal through API Server.
- Click Settings -> Users
- Click Add
- Configure a User with access to the BigQuery Connection and Resource(s)
(Optional) Configure Cross-Origin Resource Sharing (CORS)
When accessing and connecting to multiple different domains from an application such as Ajax, there is a possibility of violating the limitations of cross-site scripting. In that case, configure the CORS settings in Settings -> Server.
- Enable cross-origin resource sharing (CORS): ON
- Allow all domains without '*': ON
- Access-Control-Allow-Methods: GET, PUT, POST, OPTIONS
- Access-Control-Allow-Headers: Authorization
Save the changes to the settings.
Create a Dashboard in Reveal
With the API Server configured, we can visualize BigQuery data in Reveal.
- Log into Reveal and click Dashboards -> New
- Click Data Source -> OData Feed
- Specify the API Server API endpoint URL, for example: https://serverurl/api.rsc
- Select Generic Credentials and specify the API Server username and authentication token
- Select the entity you wish to visualize
- Select fields and choose a chart type
More Information & Free Trial
At this point, you have created a simple dashboard from live BigQuery data. For more information on creating OData feeds from BigQuery (and more than 150 other sources), visit the API Server page. Download a free, 30-day trial and start working live BigQuery data in tools that consume OData APIs.
