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Access BigQuery Data as OData Feeds in Tableau
Use the Tableau Desktop business intelligence tool to connect to BigQuery data using the API Server.
The CData API Server, when paired with the ADO.NET Provider for BigQuery (or any of 200+ other ADO.NET Providers), provides BigQuery data as OData Web services. This article will explain how to use the API Server to provide the underlying connectivity to BigQuery data in Tableau's business intelligence tool.
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
Set Up the API Server
Follow the steps below to begin producing secure BigQuery OData services:
Deploy
The API Server runs on your own server. On Windows, you can deploy using the stand-alone server or IIS. On a Java servlet container, drop in the API Server WAR file. See the help documentation for more information and how-tos.
The API Server is also easy to deploy on Microsoft Azure, Amazon EC2, and Heroku.
Connect to BigQuery
After you deploy the API Server and the ADO.NET Provider for BigQuery, provide authentication values and other connection properties needed to connect to BigQuery by clicking Settings -> Connections and adding a new connection in the API Server administration console.
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.
When you configure the connection, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.
You can then choose the BigQuery entities you want to allow the API Server to access by clicking Settings -> Resources.
Additionally, click Settings -> Server and set the Default Format to XML (Atom) for compatibility with Tableau.
Authorize API Server Users
After determining the OData services you want to produce, authorize users by clicking Settings -> Users. The API Server uses authtoken-based authentication and supports the major authentication schemes. Access can also be restricted based on IP address; by default only connections to the local machine are allowed. You can authenticate as well as encrypt connections with SSL.
Create Real-Time BigQuery Data Visualizations
Follow the steps below to create data visualizations based on the remote BigQuery data:
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In Tableau, select 'Connect to data'. In the 'On a server' section, click OData.
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In the resulting wizard, enter the URL of the OData endpoint for the API Server. Append the name of the table you want to access to the OData entry URL. For example:
https://your-server/api.rsc/Orders -
Select the
'Use a Username and Password' option and enter the username and password of a user who has access to the API Server.
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Tableau uses the table metadata exposed by the API Server to detect dimension and measure columns.
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To view the BigQuery data, right-click under the table name in the Data section of the dashboard and select the View Data option. The BigQuery data will appear in Tableau.
