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Import BigQuery Data into Microsoft Power Query
The CData API Server offers standards-based Web service endpoints that allow a variety of applications to access BigQuery data. In this article, you will use the OData format to import BigQuery data into Microsoft Power Query.
The API Server, when paired with the ADO.NET Provider for BigQuery (or any of 200+ other ADO.NET Providers), enables you to use Web services to connect to and query BigQuery data. This article details how to import an OData feed of BigQuery data into Microsoft Power Query.
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.
You can then choose the BigQuery entities you want to allow the API Server access to by clicking Settings -> Resources.
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.
Connect to BigQuery Data from Power Query
Follow the steps below to import tables that can be refreshed on demand:
- Configure the API Server to use a version of the OData protocol that is recognized by Power Query. In the API Server administration console, click Settings -> Server and change the value of the Default Version property to 3.0.
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From the ribbon in Excel, click Power Query -> From Other Data Sources -> From OData Feed, and enter the OData URL:
https://your-server:8032/api.rsc
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In the next step of the wizard, define authentication credentials and set privacy levels. Select Basic authentication and enter the credentials for a user authorized to make requests. Specify the Username field and enter the user's authtoken in the Password field.
To change the authentication scheme that Power Query will use, click Power Query -> Data Source Settings. Select the OData feed from the list and then click Edit Credential. Select the privacy level from the menu on the Data Source Settings page.
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You can now access BigQuery data in Power Query. In the Navigator expand the node for the OData feed, right-click a table, and click Edit to open the Query Editor. This will display the table data.
