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Banking

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Amazon SageMaker Feature Store now supports cross-account sharing, discovery, and access

AWS Machine Learning

FEBRUARY 13, 2024

Who needs a cross-account feature store Organizations need to securely share features across teams to build accurate ML models, while preventing unauthorized access to sensitive data. SageMaker Feature Store now allows granular sharing of features across accounts via AWS RAM, enabling collaborative model development with governance.

Accountability

Accountability Government Engineering Scripts

MLOps foundation roadmap for enterprises with Amazon SageMaker

AWS Machine Learning

JUNE 24, 2022

Data engineers are able to create extract, transform, and load (ETL) pipelines combining multiple data sources and prepare the necessary datasets for the ML use cases. The data is cataloged via the AWS Glue Data Catalog and shared with other users and accounts via AWS Lake Formation (the data governance layer).

Enterprise

Enterprise Engineering Accountability APIs

Amazon SageMaker Feature Store now supports cross-account sharing, discovery, and access

MLOps foundation roadmap for enterprises with Amazon SageMaker

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