How to Export Amazon Aurora MySQL Data to S3 and Load It into Redshift

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A technical guide outlines the steps to move data from Amazon Aurora MySQL to Amazon Redshift using Amazon S3 as an intermediary storage layer. The process relies on Aurora's SELECT INTO OUTFILE S3 command to write CSV files to an S3 bucket, which Redshift then reads using the COPY command. A shared IAM role, attached to both the Aurora cluster and Redshift, governs access to the S3 bucket, though separate roles are recommended for production environments. Aurora MySQL version 3 requires a custom DB cluster parameter group to set the default S3 role, and the database user must be explicitly granted the AWS_SELECT_S3_ACCESS privilege. Additional considerations include KMS key permissions for encrypted buckets and careful connection management when using pooled connections in application code.

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