Discover how a bimodal integration strategy can address the major data management challenges facing your organization today.
Get the Report →Connect to and Visualize Live BigQuery Data in Tableau Prep
Use CData Tableau Connectors and Tableau Prep Builder to visualize live BigQuery data.
Tableau is a visual analytics platform transforming the way businesses use data to solve problems. When paired with the CData Tableau Connector for Google BigQuery, you can easily get access to live BigQuery data within Tableau Prep. This article shows how to connect to BigQuery in Tableau Prep and build a simple chart.
The CData Tableau Connectors enable high-speed access to live BigQuery data in Tableau. Once you install the connector, you simply authenticate with BigQuery and you can immediately start building responsive, dynamic visualizations and dashboards. By surfacing BigQuery data using native Tableau data types and handling complex filters, aggregations, & other operations automatically, CData Tableau Connectors grant seamless access to BigQuery data.
NOTE: The CData Tableau Connectors support Tableau Prep Builder 2020.4.1 or higher. If you are using an older version of Tableau Prep Builder, you will need to use the CData Tableau Connector for Google BigQuery. If you wish to connect to BigQuery data in Tableau Cloud, you will need to use CData Connect Cloud.
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
Install the CData Tableau Connector
When you install the CData Tableau Connector for BigQuery, the installer should copy the TACO and JAR files to the appropriate directories. If your data source does not appear in the connection steps below, you will need to copy two files:
- Copy the TACO file (cdata.googlebigquery.taco) found in the lib folder of the connector's installation location (C:\Program Files\CData\CData Tableau Connector for BigQuery 20XX\lib on Windows) to the Tableau Prep Builder repository:
- Windows: C:\Users\[Windows User]\Documents\My Tableau Prep Repository\Connectors
- MacOS: /Users//Documents/My Tableau Prep Repository/Connectors
- Copy the JAR file (cdata.tableau.googlebigquery.jar) found in the same lib folder to the Tableau drivers directory, typically [Tableau installation location]\Drivers.
Connect to BigQuery in Tableau Prep Builder
Open Tableau Prep Builder and click "Connect to Data" and search for "BigQuery by CData." Configure the connection and click "Sign In."
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, you will need to register an application to obtain the OAuth JWT values.
In addition to the OAuth values, you will need to specify the DatasetId and ProjectId. See the "Getting Started" chapter of the help documentation for a guide to using OAuth.
Discover and Prep Data
Drag the tables and views you wish to work with onto the canvas. You can include multiple tables.
Data Cleansing & Filtering
To further prepare the data, you can implement filters, remove duplicates, modify columns and more.
- Start by clicking on the plus next to your table and selecting the Clean Step option.
- Select the field values to filter by. As you select values, you can see how your selections impact other fields.
- Opt to "Keep Only" or "Exclude" entries with your select values and the data changes in response.
Data Joins and Unions
Data joining involves combining data from two or more related tables based on a common field or key.
- To join multiple tables, drag a related table next to an existing table in the canvas and place it in the Join box.
- Select the foreign keys that exist in both tables.
Exporting Prepped Data
After you perform any cleansing, filtering, transformations, and joins, you can export the data for visualization in Tableau.
- Add any other needed transformations then insert an Output node at the end of the flow.
- Configure the node to save to a file in the format of your choice.
Once the output data is saved, you can work with it in Tableau, just like you would any other file source.
Using the CData Tableau Connector for Google BigQuery with Tableau Prep Builder, you can easily join, cleanse, filter, and aggregate BigQuery data for visualizations and reports in Tableau. Download a free, 30-day trial and get started today.