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Scale ML feature ingestion using Amazon SageMaker Feature Store



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Amazon SageMaker Feature Store is a purpose-built solution for machine learning (ML) feature management. It helps data science teams reuse ML features across teams and models, serves features for model predictions at scale with low latency, and train and deploy new models more quickly and effectively.
As you learn about how to use a feature store, you may come across many examples that use very simple scenarios involving a few hundred or a few thousand rows of feature data. Although those examples help you get started, they don’t answer the question of what happens when your feature groups need …

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