What problem does a feature store mainly solve?
Options
- It stores the trained models
- It gives one shared, versioned definition of each feature for both training and serving, avoiding duplicated code and mismatches (Correct option)
- It makes the GPU faster
- It replaces the data warehouse
Answer
It gives one shared, versioned definition of each feature for both training and serving, avoiding duplicated code and mismatches
Why
Without a shared definition, the data team computes a feature in SQL for training and the engineers rewrite it in code for production, and the two drift apart (training-serving skew).
A feature store computes or serves the feature from one definition, offers an offline store for training and an online store for low-latency lookups, and lets teams reuse features.
It does not train models or replace the warehouse; it sits between the data and the models.
Remember
Feature store = one feature definition for training and serving.