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URL: https://www.cdata.com/kb/tech/bigquery-odbc-active-query-builder.rst

⇱ Rapidly Develop BigQuery-Driven Apps with Active Query Builder

Rapidly Develop BigQuery-Driven Apps with Active Query Builder

👁 Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Leverage the Active Query Builder SQL interface and .NET data access to create data-driven WinForms and ASP.NET apps backed by BigQuery.

Write standard .NET to expose BigQuery data through an SQL interface: Active Query Builder helps developers write SQL interfaces; the CData ODBC Driver for BigQuery enables standards-based access to BigQuery. This integration uses the Microsoft ADO.NET Provider for ODBC as a bridge between the ODBC Driver and the Active Query Builder objects to build a visual SQL composer.

Connect to BigQuery as an ODBC Data Source

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

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.

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


Use SQL to Interact with BigQuery

Follow the steps below to create a WinForms visual query builder.

  1. Open Active Query Builder for .NET WinForms. 👁 Opening Active Query Builder.
  2. In the new Windows Forms project go to the "File" menu and click "Connect..."
  3. Under Database Connections, click "Add..." 👁 Adding a new Connection.
  4. Set your desired Connection Name (e.g. CData BigQuery), set Connection Type to "ODBC" and locate your previously configured DSN in the "User/System" DSN dropdown. 👁 Selecting a previously configured DSN (Amazon Athena is shown).
  5. Click "OK" to save the new connection.
  6. Back in the Database Connection wizard, select the newly created connection and click "OK." 👁 A newly added Connection (Amazon Athena is shown).
  7. Click "File" > "New Query" to create a QueryBuilder

You can now build queries visually: Double-click a table in the Columns Pane Area and an entity/relationship diagram is displayed in the Query Building Area. Columns that you select in the diagram are added to the query.

👁 Building queries interactively with Active Query Builder.

Ready to get started?

Download a free trial of the Google BigQuery ODBC Driver to get started:

 Download Now

Learn more:

👁 Google BigQuery Icon
Google BigQuery ODBC Driver

The Google BigQuery ODBC Driver is a powerful tool that allows you to connect with live Google BigQuery data, directly from any applications that support ODBC connectivity.

Access Google BigQuery like you would a database - read, write, and update Datasets, Tables, etc. through a standard ODBC Driver interface.