Integrate your data and collaborate using data preparation in AWS Glue Studio

This article discusses the new data preparation authoring experience in AWS Glue Studio Visual ETL, which provides a spreadsheet-style UI for business users and data analysts to clean and transform data for analytics and machine learning.

Specifically, the article covers:

• The visual ETL environment setup and prerequisites, including attaching the AWSGlueConsoleFullAccess IAM managed policy
• The data extraction process from Amazon S3
• The data transformation process using the data preparation interface, with features like adding transformations, undoing/redoing steps, reordering steps, and visualizing data types and statistics
• The ability to share prepared data with data engineers for integration into production pipelines
• The general availability of this feature in AWS Regions where AWS Data Brew is available