<blockquote> <p>Building point-in-time correct, production-grade feature pipelines — from raw Kafka events to online feature serving in milliseconds, using Spark Structured
<p>Features used for training must match features used for inference, or your model breaks silently. SageMaker Feature Store keeps them in sync with online (real-time) and offline
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