Break down data silos and empower your teams with self-service access to curated datasets – all while maintaining governance with Amazon DataZone. In this episode, join Brian as he explores how organizing data into purposeful domains simplifies discovery and access.
You’ll learn:
✅ Benefits of self-service data environments
✅ Structuring data into functional domains (patient, clinical, finance)
✅ Value stream domains for business processes (patient care, operations)
✅ Roles of data producers (curating, publishing) and consumers (discovering, accessing)
✅ Using metadata catalogs and tagging for efficient dataset discovery
✅ Implementing access controls and approval workflows
✅ Integrating DataZone with existing workflows via APIs
✅ Best practices: training, data quality, monitoring
Whether you’re a medical organization, research facility, or any data-driven enterprise, self-service data environments powered by Amazon DataZone can accelerate data access and insights – without compromising governance.
Eliminate gatekeepers, streamline processes, and unlock your data’s full potential with just a few clicks. Let’s get started!
Additional Resources:
Amazon DataZone – https://aws.amazon.com/datazone/
Amazon DataZone Terminology and Concepts – https://docs.aws.amazon.com/datazone/latest/userguide/datazone-concepts.html
Govern Analytics – https://aws.amazon.com/datazone/features/data-access/
Check out more resources for architecting in the #AWS cloud:
http://amzn.to/3qXIsWN
#AWS #AmazonWebServices #CloudComputing #BackToBasics #AmazonDatazone
