Category: Amazon Q

Amazon Q data integration, introduced in January 2024, allows you to use natural language to author extract, transform, load (ETL) jobs and operations in AWS Glue specific data abstraction DynamicFrame. This post introduces exciting new capabilities for Amazon Q data integration that work together to make ETL development more efficient and intuitive. We’ve added support for DataFrame-based code generation that works across any Spark environment. We’ve also introduced in-prompt context-aware development that applies details from your conversations, working seamlessly with a new iterative development experience.

Today, we’re excited to announce general availability of Amazon Q data integration in AWS Glue. Amazon Q data integration, a new generative AI-powered capability of Amazon Q Developer, enables you to build data integration pipelines using natural language. This reduces the time and effort you need to learn, build, and run data integration jobs using […]