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Easy Google BigQuery to Adobe Analytics integration with RudderStack
RudderStack’s open source Reverse ETL connection allows you to integrate RudderStack with your Google BigQuery Data Warehouse to track event data and automatically send it to Adobe Analytics. 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.
Popular ways to use Adobe Analytics
Enable real-time data
Automatically send real-time data to marketing analytics, product analytics and business analytics tools.
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
How do you integrate your Google BigQuery data warehouse with Adobe Analytics?
With Rudderstack, integration between Google BigQuery source and Adobe Analytics is simple. Set up a Google BigQuery source source and start sending data.
Is it expensive to integrate Google BigQuery source with Adobe Analytics?
How long does it take to integrate Google BigQuery source with Adobe Analytics?
Timing can vary based on your tech stack and the complexity of your data needs for Google BigQuery source and Adobe Analytics.
RudderStack Adobe Analytics Documentation
Refer to our step-by-step guide and start using Adobe Analytics today
RudderStack Google BigQuery Documentation
Refer to our step-by-step guide and start using Google BigQuery today
About Adobe Analytics
Adobe Analytics is a real-time marketing analytics platform in the Adobe Experience Cloud. It enables you to apply detailed segmentation across various marketing channels, discover high-value audiences, and deliver business growth. Adobe Analytics APIs offer countless ways to integrate your important customer data into key business processes.
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.