Organizations need to analyze data across multiple sources quickly to maintain a competitive edge.Amazon SageMaker Unified Studio helps in connecting, sharing, and querying data sitting in various sources.Retail analytics teams can use SageMaker Unified Studio to analyze customer data from Amazon S3, Redshift, and DynamoDB.SageMaker Unified Studio provides a unified experience for using data, analytics, and AI capabilities.It enables creating insights into customer behaviors without the traditional barriers of data silos.Amazon SageMaker Data and AI Governance ensures compliance and regulatory standards.SageMaker Lakehouse streamlines connecting to, cataloging, and managing permissions on data from multiple sources.It organizes data through federated and managed catalogs, providing secure access with fine-grained controls.The infrastructure team enables tools and technologies for business units to build data products in a governed environment.Teams can publish, share, and query data assets from various sources using SageMaker Unified Studio.