What you can do with Amazon Redshift Source

Query and write data to and from your data lake using open formats including Parquet, ORC, JSON, Avro, CSV, and more

Create and train SageMaker models customers using SQL statements and use those models for predictions such as churn detection and risk scoring directly in their queries and reports using Redshift ML

Easily manage end-to-end analytics workflows using native integration with the AWS analytics ecosystem

Query petabytes of data in Amazon S3 without loading or transforming any data with the Redshift Spectrum feature

Share live data across Redshift clusters securely and easily

How to set up Amazon Redshift Source Integration

It's simple to set up! Use our step-by-step guide for setting up Amazon RedShift as a source in RudderStack.

View the documentation
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Send Customer Event Data from Amazon Redshift Through RudderStack Securely

Easily set up Amazon Redshift as a Warehouse source on the RudderStack dashboard within minutes. Once successfully configured, RudderStack automatically ingests your specified events data from Redshift. You can then route your event data to your favorite third-party destinations supported by RudderStack.

By adding Amazon Redshift as a Source in the RudderStack dashboard, you can:

  • Synchronize with your Redshift data source based on the schedule and run frequency.
  • Securely ingest your customer event data and send them to your preferred destination platforms in the desired format.
Try this in RudderStack
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