Accelerate ML feature pipelines with new capabilities in Amazon SageMaker Feature Store

Amazon SageMaker Feature Store has introduced three new capabilities in its Python SDK v3.8.0. These updates include enhanced support for Lake Formation governance and Iceberg table properties. The improvements aim to accelerate machine learning feature pipelines with practical code examples and notebooks.

AWS Machine Learning Blog

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These new features simplify and speed up ML feature management and governance.

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Amazon (AMZN)

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Faster, governed feature pipelines can improve ML model deployment efficiency and compliance.

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ML teams using SageMaker should evaluate these updates to optimize their workflows.

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Sources in this thread (1): AWS Machine Learning Blog

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