AWS Machine Learning Blog
Category: HAQM DataZone
Governing the ML lifecycle at scale, Part 3: Setting up data governance at scale
This post dives deep into how to set up data governance at scale using HAQM DataZone for the data mesh. The data mesh is a modern approach to data management that decentralizes data ownership and treats data as a product. It enables different business units within an organization to create, share, and govern their own data assets, promoting self-service analytics and reducing the time required to convert data experiments into production-ready applications.
Unlock the power of data governance and no-code machine learning with HAQM SageMaker Canvas and HAQM DataZone
HAQM DataZone is a data management service that makes it quick and convenient to catalog, discover, share, and govern data stored in AWS, on-premises, and third-party sources. HAQM DataZone allows you to create and manage data zones, which are virtual data lakes that store and process your data, without the need for extensive coding or […]
HAQM SageMaker now integrates with HAQM DataZone to streamline machine learning governance
Unlock ML governance with SageMaker-DataZone integration: streamline infrastructure, collaborate, and govern data/ML assets.