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Author visual ETL flows on Amazon SageMaker Unified Studio (preview)

Big Data Blog



This article introduces Amazon SageMaker Unified Studio's new Visual ETL flows feature, which enables data engineers to create data integration workflows through a low-code/no-code interface with generative AI assistance.

  • Allows building ETL flows visually without extensive coding skills
  • Supports connecting to diverse data sources like Amazon S3
  • Enables operations such as table joins, filtering, and data transformations
  • Automatically converts visual flows to Spark native scripts
  • Integrates generative AI to help create ETL workflows using natural language prompts

The article demonstrates creating an ETL flow using the TICKIT dataset, showing how to merge data, filter by venue state, aggregate event information, and export results to Amazon S3 and AWS Glue Data Catalog.



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