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AWS launched the UpdateRecord API in SageMaker Feature Store that lets you update specific feature values in a single record without reading or rewriting the entire record, reducing latency and storage costs for regional enterprises.

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Amazon SageMaker Feature Store introduces UpdateRecord for feature-level writes

Overview

AWS announced the addition of a new API called UpdateRecord to Amazon SageMaker Feature Store, enabling developers to update specific feature values in a record without reading or rewriting the entire record. This feature is available for both the Standard tier (backed by Amazon DynamoDB) and the In-Memory tier (backed by Amazon ElastiCache).

FAQ

What is Amazon SageMaker Feature Store?

It is a fully managed feature store from AWS for storing and sharing machine learning features across teams and applications.

What is new with UpdateRecord?

It allows updating one or more features in a record without rewriting the entire record, reducing latency and write costs.

Is UpdateRecord available in all regions?

It is available in both Standard (DynamoDB) and In-Memory (ElastiCache) tiers in supported AWS regions, including Middle East regions.

How does this benefit MENA enterprises?

It helps improve recommendation systems, fraud detection, and predictive maintenance through faster and cheaper updates.

Source: AWS Machine Learning

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