Real time feature store

Capacity to store, process and access code from frequently used features making them available for reuse in the modeling of future machine learning models. Real time feature stores include two specific dimensions: Frequency and Complexity. Frequency determines the time of update of a given feature, it can be either real time or batch. Complexity describes the computational scope required to generate the feature.