AWS Glue DataBrew

AWS Glue DataBrew is a visual, serverless data-preparation service for profiling, cleaning, normalizing, and transforming data without writing code.

AI Practitioner focus

Use it during the data exploration/preprocessing stage to find quality problems, handle missing/invalid values, standardize formats, and prepare features.
Offers more than 250 point-and-click transformations and previews changes before a job runs across the full dataset.
A reusable sequence of transformation steps is a recipe.
A DataBrew project connects to a dataset for interactive profiling; a job runs the recipe and commonly writes prepared output to Amazon S3.
Choose AWS Glue ETL/Visual ETL or custom Spark/Python when the workflow needs programmable, large-scale integration logic; choose DataBrew for analyst-friendly visual preparation.
Data cleaning improves input quality but does not by itself prove representativeness, fairness, or freedom from leakage.