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Integrate your Google BigQuery Data Warehouse with Tableau
Don't go through the pain of direct integration. RudderStack’s Reverse ETL connection makes it easy to send data from your Google BigQuery Data Warehouse to Tableau and all of your other cloud tools.
Easy Google BigQuery to Tableau integration with RudderStack
RudderStack’s open source Reverse ETL connection allows you to integrate RudderStack with your your Google BigQuery Data Warehouse to track event data and automatically send it to Tableau. With the RudderStack Reverse ETL connection, you do not have to worry about having to learn, test, implement or deal with changes in a new API and multiple endpoints every time someone asks for a new integration.
Available via webhook
Send event data to Tableau by enabling webhooks in your RudderStack dashboard, then using our Transformations feature to shape the payload for the Tableau API. Once enabled, RudderStack will forward events to Tableau (note, this requires leveraging cloud API endpoints for Tableau ).
Popular ways to use Tableau and RudderStack
Enable real-time data
Automatically send real-time data to marketing analytics, product analytics and business analytics tools.
Cross-platform tracking
Track the entire user journey across platforms without the technical headache.
Hot-swap analytics tools
Send existing data feeds to new analytics tools with a few clicks.
Frequently Asked Questions
About Tableau
Tableau is a popular data visualization tool that empowers you to explore, manage, and understand your data without the need for any code. Its easy-to-use drag-and-drop interface helps you create simple yet powerful dashboards that give in-depth analysis and insights about your customers.
Tableau can be easily used by organizations of different sizes and people with different expertise (analyst, data scientist, student, teacher, executive, or business user) to build data-driven insights.
About Google BigQuery
Google BigQuery is a fully-managed cloud data warehouse that allows you to store and analyze petabytes of data in no time. It is serverless, highly scalable, and cost-effective and is designed for businesses to analyze massive datasets and make informed business decisions. Google BigQuery also allows running complex analytical SQL-based queries using built-in machine learning capabilities.