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Amazon S3 Data Lake Integration

Connect Amazon S3 Data Lake and send data to Amazon S3 Data Lake with Rudderstack.

Destination

Event Stream

Amazon S3 Data Lake Integration

Connect Amazon S3 Data Lake and send data to Amazon S3 Data Lake with Rudderstack.

Destination

Event 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

Frequently Asked Questions

Amazon S3 is the largest and most highly performant object storage service to store structured and unstructured data. As a result, it is the most preferred storage service to build a data lake.

AWS S3 is a key-value store, one of the major categories of NoSQL databases. It is used for accumulating voluminous, mutating, unstructured, or semistructured data. Objects uploaded into S3 are referenced by a unique key, which can be any string. Due to this high-level and generic storage structure, S3 offers users near-infinite flexibility.

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About Amazon S3 Data Lake

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.