SageMaker Unified Studio Orchestrates ETL Pipelines

Amazon's guide shows how to build and manage an end-to-end ETL pipeline using SageMaker Unified Studio through a code-based workflow integrating Amazon MWAA, AWS Glue, Amazon EMR Serverless, and Amazon Redshift Serverless. The post, using IAM Identity Center–based domains in us-east-1, walks through creating projects, configuring S3 data repositories, running data quality checks, and scheduling daily pipelines for an e-commerce customer-behavior use case. It emphasizes collaborative shared environments and pipeline orchestration.