Feature store design
Centralizing feature management
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Design the architecture of a feature store for a data team of [TEAM_SIZE] managing [NUMBER_OF_MODELS] ML models in production. The main features are [EXAMPLE_FEATURES]. Include: table structure, computation strategy (batch vs streaming), feature management for training vs production, and recommended tools (Feast, Hopsworks, etc.).
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Pour un feature store efficace, distinguez strictement les features offline (batch, pour l'entraînement) et online (faible latence, pour l'inférence). Utilisez Feast pour sa simplicité d'intégration avec les pipelines existants, et prévoyez une couche de validation des features (tests de dérive, complétude) avant chaque déploiement de modèle.
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