Amazon DataZone launches custom blueprint configurations for AWS services

Amazon DataZone launches custom blueprint configurations for AWS services allowing customers to optimize resource usage and costs by using existing AWS Identity and Access Management (IAM) roles and/or AWS services, such as Amazon S3. Amazon DataZone is a data management service for customers to catalog, discover, share, and govern data at scale across organizational boundaries with governance and access controls.

Amazon DataZone’s blueprints can help administrators define which AWS tools and services will be deployed for data producers like data engineers or data consumers like data scientists, simplifying access to data and increasing collaboration among project members. Custom blueprints for AWS services adds to the family of Amazon Datazone blueprints including the data lake, data warehouse, and Amazon SageMaker blueprints. With custom blueprints, administrators can include Amazon DataZone into their data pipelines by using existing IAM roles to publish existing data assets, owned by those roles, to the catalog, thereby establishing governed sharing of those data assets and enhancing governance across the entire infrastructure.