AWS Glue Studio now offers a no code data preparation authoring experience

The article introduces a new no-code data preparation authoring experience in AWS Glue Studio Visual ETL, designed for business users and data analysts to clean and transform data using a spreadsheet-style UI, with the capability to run data integration jobs at scale on AWS Glue for Spark.

Specifically, the article covers:

• The new visual data preparation experience allows users to choose from hundreds of pre-built transformations to automate data preparation tasks without writing code.
• Business analysts can collaborate with data engineers, where engineers define data connections and flow ordering, and analysts define data transformations and output.
• Existing DataBrew "recipes" can be imported and authored directly in AWS Glue Studio, with the ability to scale up recipes to process petabytes of data at a lower price point for AWS Glue jobs.
• The feature is available in all commercial AWS Regions where AWS Glue DataBrew is available, with documentation and a blog post provided for more information.