This week, we navigated the heart of data engineering — transformation — through the AWS Glue ecosystem. We captured metadata with Data Catalog, ran Spark transformations with ETL Job, built no-code transforms with Studio/DataBrew, and guaranteed reliability with Schema Registry and Data Quality. Today we stitch these pieces into one picture, clarify service selection criteria, and review exam traps.
See how all Glue components fit together in a complete pipeline.