How to Build and Serve Production ML Features | Databricks Feature Store Demo
Databricks introduces Feature Views to streamline ML feature development and deployment.
“The cycle from idea to best model stays inside the laptop.”
Databricks unveiled its Feature Views feature, simplifying the development and deployment of machine learning systems by allowing batch and streaming features to be defined using the same abstraction. This innovation automates model training and tracking, ensuring continuity and efficiency from conceptualization to production.