Visual Data Preparation with AWS Glue DataBrew
Explore how to use AWS Glue DataBrew to visually prepare and transform data without coding. Understand key tasks like scaling, encoding, missing data imputation, and bias detection, helping you build clean, reliable datasets for machine learning on AWS.
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AWS Glue DataBrew occupies a specific position in the ML data engineering pipeline as a visual, no-code data preparation service. For the AWS Certified Machine Learning Engineer Associate exam, understanding when and how to use DataBrew for data exploration, transformation, and quality validation is a testable skill. DataBrew is purpose-built for analysts and data engineers who need to clean and normalize data without writing ETL code, and it connects directly to Amazon S3, Amazon Redshift, Amazon RDS, and the AWS Glue Data Catalog as source and target endpoints. The service provides more than 250 built-in transformations organized as