Use AWS Glue DataBrew recipes in your AWS Glue Studio visual ETL jobs
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This article demonstrates how to integrate AWS Glue DataBrew recipes into AWS Glue Studio visual ETL jobs for data preparation without coding.
- DataBrew recipes contain 200+ transformation steps for data cleaning and normalization
- Create recipes interactively in DataBrew, then reuse them in Glue Studio visual jobs
- Example workflow: clean medical claims data, join with provider data, output to S3
- DataBrew recipes now support Glue features like bookmarks, auto-scaling, and incremental processing
- Provides centralized ETL diagram view and orchestration of multiple recipes
- Output data automatically registered in AWS Glue Data Catalog for Athena queries
This integration enables non-technical users to build complex ETL pipelines combining DataBrew's visual data preparation with Glue Studio's orchestration capabilities.
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