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Get the Report →Build BigQuery Visualizations in Tableau Cloud
Use CData Connect Cloud to connect to live BigQuery data and build visualizations in Tableau Cloud.
Tableau Cloud is an analytics platform fully hosted in the cloud. When paired with CData Connect Cloud, you get instant, cloud-to-cloud access to BigQuery data for visualizations, dashboards, and more. This article shows how to connect to BigQuery and build visualizations from BigQuery data in Tableau Cloud.
CData Connect Cloud provides a pure SQL Server, cloud-to-cloud interface for BigQuery, allowing you to easily build visualizations from live BigQuery data in Tableau Cloud without installing connectors or publishing worksheets and data sources from Tableau Desktop. As you build visualizations, Tableau Cloud generates SQL queries to gather data. Using optimized data processing out of the box, CData Connect Cloud pushes all supported SQL operations (filters, JOINs, etc) directly to BigQuery, leveraging server-side processing to quickly return BigQuery data.
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
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
Configure BigQuery Connectivity for Tableau Cloud
Connectivity to BigQuery from Tableau Cloud is made possible through CData Connect Cloud. To work with BigQuery data from Tableau Cloud, we start by creating and configuring a BigQuery connection.
- Log into Connect Cloud, click Connections and click Add Connection
- Select "BigQuery" from the Add Connection panel
- BigQuery uses OAuth to authenticate. Click "Sign in" to authenticate with BigQuery.
- Navigate to the Permissions tab in the Add BigQuery Connection page and update the User-based permissions.
Add a Personal Access Token
If you are connecting from a service, application, platform, or framework that does not support OAuth authentication, you can create a Personal Access Token (PAT) to use for authentication. Best practices would dictate that you create a separate PAT for each service, to maintain granularity of access.
- Click on your username at the top right of the Connect Cloud app and click User Profile.
- On the User Profile page, scroll down to the Personal Access Tokens section and click Create PAT.
- Give your PAT a name and click Create.
- The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.
With the connection configured, you are ready to connect to BigQuery data from Tableau Cloud.
Visualize Live BigQuery Data in Tableau Cloud
The steps below outline creating a new data source in Tableau Cloud based on the virtual BigQuery database in Connect Cloud and building a simple visualization from the data.
- Log into Tableau Cloud, select a account, and create a new workbook.
- In the new workbook, choose the Microsoft SQL Server Connector from the data wizard and fill in the values for your Connect Cloud instance.
- Set Server to tds.cdata.com,14333
- Set Database to the BigQuery connection you created (e.g. GoogleBigQuery1)
- Set Username to your Connect Cloud username (e.g. [email protected])
- Set Password to a PAT for the above user
- Check the Require SSL checkbox
- Select your newly created database and the table(s) you wish to visualize (defining relationships for JOINad tables as needed).
- Select Dimensions and Measures and configure your visualization.
Real-Time Access to BigQuery Data from Cloud Applications
At this point, you have a direct, cloud-to-cloud connection to live BigQuery data from your Tableau Cloud workbook. You can create new visualizations, build dashboards, and more, with no need to publish data sources and workbooks from Tableau Desktop. For more information on gaining live access to data from more than 100 SaaS, Big Data, and NoSQL sources from cloud applications like Tableau Cloud, refer to our Connect Cloud page.