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URL: https://www.cdata.com/kb/tech/bigquery-cloud-power-query.rst

⇱ Work with Live BigQuery Data in Power Query

Work with Live BigQuery Data in Power Query

👁 Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Use CData Connect AI to connect to BigQuery data and work with live BigQuery data in Microsoft Power Query.

Power Query is a data transformation and data preparation engine. When paired with CData Connect AI, you get instant, cloud-to-cloud access to BigQuery data from Power Query. This article shows how to connect to Connect AI from Power Query through Microsoft Excel and get live access to BigQuery data for transformation and preparation.

CData Connect AI provides a pure SQL, cloud-to-cloud interface for BigQuery, allowing you to easily integrate with live BigQuery data in Power Query — without replicating the data. CData Connect AI looks exactly like a SQL Server database to Power Query and uses optimized data processing out of the box to push 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


Configure BigQuery Connectivity for Power Query

Connectivity to BigQuery from Power Query is made possible through CData Connect AI. To work with BigQuery data from Power Query, we start by creating and configuring a BigQuery connection.

  1. Log into Connect AI, click Sources, and then click Add Connection
    2. 👁 Adding a Connection
  2. Select "BigQuery" from the Add Connection panel
    3. 👁 Selecting a data source
  3. BigQuery uses OAuth to authenticate. Click "Sign in" to authenticate with BigQuery. 👁 Authenticating with OAuth (Salesforce is shown).
  4. Navigate to the Permissions tab in the Add BigQuery Connection page and update the User-based permissions. 👁 Updating permissions

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

  1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
  2. On the Settings page, go to the Access Tokens section and click Create PAT.
  3. Give the PAT a name and click Create. 👁 Creating a new PAT
  4. 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 and a PAT generated, you are ready to connect to BigQuery data from Power Query.

Working with Live BigQuery Data in Power Query

With the connection to Connect AI configured, you are ready to work with live BigQuery data in Power Query.

  1. In Microsoft Excel, open the Power Query Editor (from the Data ribbon, click Get Data -> Launch Power Query Editor) 👁 Opening the Power Query Editor
  2. Click New Source -> SQL Server 👁 Creating a new SQL Server Source
  3. In the SQL Server database modal:
    • Set Server to tds.cdata.com,14333
    • (Optional) Set Database to the name of the BigQuery connection (e.g. GoogleBigQuery1 )
    👁 Configuring the Server
  4. In the SQL Server credentials modal, select "Database" and
    • Set User to your Connect AI username (e.g. [email protected] )
    • Set Password to the PAT for the above user
    👁 Configuring the credentials
  5. Click Connect
  6. Select the table(s) you wish to work with in the Navigator and click "OK" 👁 Selecting the table(s) (Salesforce is shown)

At this point, you have live access to BigQuery data from Power Query for transformation and preparation.

👁 Working with data in Power Query (Salesforce is shown)

SQL Access to BigQuery Data

Now you have a direct connection to live BigQuery data from Microsoft Power Query. You can create more connections and transform and preparte your data to better drive business — all without replicating BigQuery data.

To get real-time data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications, sign up for a free trial of CData Connect AI.