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Easy Amazon S3 to Google BigQuery Integration with RudderStack
RudderStack’s open source Amazon S3 allows you to integrate RudderStack with your Amazon S3 data storage to track event data and automatically send it to Google BigQuery. With the RudderStack Amazon S3, 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 Google BigQuery
Automatic schema creation
Simplify your workflow with predefined schemas, automatically created for you in your Google BigQuery warehouse.
Sync data faster
Leverage best in class sync times and load data to Google BigQuery every 30 minutes (or even faster!).
Customize data loads
Customize data and loads for Google BigQuery across multiple databases and schemas.
Frequently Asked Questions
How do you integrate your Amazon S3 data storage with Google BigQuery?
With Rudderstack, integration between Amazon S3 source and Google BigQuery is simple. Set up a Amazon S3 source source and start sending data.
Is it expensive to integrate Amazon S3 source with Google BigQuery?
Pricing Amazon S3 source and Google BigQuery can vary based on the way they charge. Check out our pricing page for more info. Or give us a try for FREE.
How long does it take to integrate Amazon S3 source with Google BigQuery?
Timing can vary based on your tech stack and the complexity of your data needs for Amazon S3 source and Google BigQuery.
RudderStack Google BigQuery Documentation
Refer to our step-by-step guide and start using Google BigQuery today
RudderStack Amazon S3 Documentation
Refer to our step-by-step guide and start using Amazon S3 today
About Google BigQuery
Google BigQuery is an industry-leading fully-managed cloud data warehouse that allows you to store and analyze petabytes of data in no time. RudderStack lets you add Google BigQuery as a destination where you can send your customer event data from the data source of your choice.
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