Databricks users can now use the Hopsworks Feature Store as a standalone service to manage their features for model training and model serving. In a notebook, Databricks users import the hops library and then they can compute features in Spark and register them with the Feature Store (see examples here).
They can also discover and understand available features and then generate train/test datasets by combining available features. Enterprise security is enabled by using the notebook's IAM Role to securely retrieve a Feature Store API key for interacting with the Feature Store.
