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Amazon S3 Data Lake Integration

Amazon S3 is a cloud-based object storage service that can store huge amounts of data (both structured and unstructured) for various use cases, including websites, mobile apps, IoT devices, and more. It enables you to build a cost-effective data lake of any size or scale. An S3-powered data lake enables you to easily use the native AWS services for data processing, analytics, machine learning, and more.

DestinationEvent Stream

Amazon S3 Data Lake Integration

Amazon S3 is a cloud-based object storage service that can store huge amounts of data (both structured and unstructured) for various use cases, including websites, mobile apps, IoT devices, and more. It enables you to build a cost-effective data lake of any size or scale. An S3-powered data lake enables you to easily use the native AWS services for data processing, analytics, machine learning, and more.

DestinationEvent Stream

Integrating Amazon S3 Data Lake as a destination on your RudderStack dashboard is simple. The data sent to S3 Data lake via RudderStack is cleaned or formatted, so you can directly pick it up for analysis. Once you add the S3 data lake as a destination in RudderStack, all your event data is stored in the data lake periodically.

By adding Amazon S3 data lake support for RudderStack, you can:

  • Store events in your configured S3 bucket without worrying about the scale or the size of the data
  • Query your S3 data using AWS Athena, which enables you to run SQL queries on S3
  • Eliminate the need to format or clean your data before utilizing it for analytics