Vertex AI Feature Store

Vertex AI Feature Store provides a centralized repository for organizing, storing, and serving ML features.

Vertex AI Feature Store is a fully managed solution, which manages and scales the underlying infrastructure such as storage and compute resources.

Vertex AI Feature Store is an integrated part of Vertex AI.

Vertex AI Feature Store data model

Vertex AI Feature Store uses a time series data model to store a series of values for features. This model enables Vertex AI Feature Store to maintain feature values as they change over time.

Vertex AI Feature Store organizes resources hierarchically in the following order: Featurestore -> EntityType -> Feature. You must create these resources before you can ingest data into Vertex AI Feature Store.

As an example, assume that you have the following sample source data from a BigQuery table. This source data is about movies and their features.

Before you can ingest this data into Vertex AI Feature Store, you need to create a featurestore, which is a top-level container for all other resources. In the feature store, create entity types that group and contain related features.

You can then create features that map to features in your source data. The names of the…