Working with custom AWS service blueprints in Amazon DataZone

In Amazon DataZone, custom AWS service blueprints enable you optimize resource usage and costs by configuring Amazon DataZone to use your own existing AWS Identity and Access Management (IAM) roles and AWS services that you already have set up in your organization.

A blueprint with which a Amazon DataZone environment is created defines what tools and services members of the project to which the environment belongs can use as they work with assets in the Amazon DataZone catalog. In the current release of Amazon DataZone, there are the following built-in blueprints:

• Data lake blueprint

• Data warehouse blueprint

• Amazon SageMaker blueprint

With Amazon DataZone custom AWS service blueprints, you can create environments and projects that are customized to any AWS services that you are currently using in your organization. With custom blueprints, you can include Amazon DataZone in your existing data pipelines by configuring it to use your existing IAM roles to enhance governance across infrastructure setup and collaborate on business initiatives.

Topics

• Enable a custom AWS service blueprint
• Create an environment using a custom AWS service blueprint
• Create actions in a custom AWS service environment
• Add project members to a custom AWS service environment
• Configure a data source in an AWS service environment
• Configure a subscription target in an AWS service environment