Announcing Amazon Q data integration in AWS Glue (Preview)
Today, AWS announces Amazon Q data integration, a new generative AI–powered capability of Amazon Q for AWS Glue that enables you to build data integration jobs using natural language. Amazon Q is your AWS expert that transforms the way you build, optimize, and operate applications and workloads on AWS. With Amazon Q data integration, you can author jobs, troubleshoot issues, and get instant answers to data integration questions for AWS Glue. Powered by Amazon Bedrock, Amazon Q data integration generates relevant results and automates job authoring, reducing the time needed to build data integration jobs in AWS Glue.
Today, AWS announces Amazon Q data integration, a new generative AI–powered capability of Amazon Q for AWS Glue that enables you to build data integration jobs using natural language. Amazon Q is your AWS expert that transforms the way you build, optimize, and operate applications and workloads on AWS. With Amazon Q data integration, you can author jobs, troubleshoot issues, and get instant answers to data integration questions for AWS Glue. Powered by Amazon Bedrock, Amazon Q data integration generates relevant results and automates job authoring, reducing the time needed to build data integration jobs in AWS Glue.
Through conversations with Amazon Q, you can author jobs, troubleshoot issues, and get answers to questions about AWS Glue and data integration. Describe your data integration workload and Amazon Q data integration will generate a complete AWS Glue script. Amazon Q data integration can help you connect to common AWS sources such as Amazon Simple Storage Service (Amazon S3), Amazon Redshift, and Amazon DynamoDB. You can troubleshoot jobs by asking Amazon Q data integration to explain errors and propose solutions. Amazon Q provides detailed guidance throughout the entire data integration workflow. Amazon Q helps you learn and build data integration jobs in AWS Glue.
Amazon Q data integration is available in preview in Amazon Q enabled regions. To learn more about Amazon Q Data Integration, visit the website, our documentation or read this News blog post.