Author: Vanshika Nigam

You can use the AWS Database Migration Service Schema Conversion (AWS DMS SC) with generative AI feature to accelerate your database migration to AWS. This feature automatically handles the conversion of many database objects during migration by using traditional rule-based techniques and deterministic AI techniques. In this post, we demonstrate how Amazon Q Developer delivers generic solutions for complex AWS DMS SC issues, intelligently converts database stored procedure code from source to target database-compatible code, and automatically generates comprehensive test cases to validate your migrated database objects.

In this post, we explore how you can use column filters to divide a high-activity table into multiple tasks during the CDC phase. This approach can accelerate the migration process and reduce target latency.

In this post, we show you can implement T-SQL global temporary table behavior in Babelfish for Aurora PostgreSQL using permanent table.