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Amazon SageMaker Feature Store introduces UpdateRecord for feature-level writes | Amazon Web Services

We are excited to announce feature-level writes for Amazon SageMaker Feature Store. Amazon SageMaker Feature Store is a fully managed, purpose-built repository to store, share, and manage machine learning (ML) features, the processed data used for training models and generating predictions. With the new UpdateRecord API, you can now update one or more feature values in a single call without reading or rewriting the entire record. This capability is available for both the Standard (Amazon DynamoDB-backed) and In-Memory (Amazon ElastiCache-backed) online store tiers.

The challenge: Full-record writes for every change

A Feature Group is a logical collection of features that are related, and are used by one or more ML models to either train a new model or generate inference predictions. Until now, updating even a single feature value in a feature group required a full read-modify-write cycle using PutRecord. If your fraud-scoring pipeline needed...

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The challenge: Full-record writes for every change

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