Feature platforms are an essential component of the MLOps stack that optimize feature computation and retrieval for machine learning models. They reduce engineering time and improve performance. Self-serve feature engineering faces challenges in terms of slow iteration speed for streaming features and the lack of data

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Table of contents
Part I. Evolution of feature platformsPart 2. Self-serve feature engineeringComparison of feature platformsConclusionAcknowledgmentsAppendix

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