Databricks' feature store is materialized in Delta Lake files and accessible via Delta Lake APIs. And, like the AutoML engine, the feature store is integrated with MLflow.

Databricks now supports Tecton feature store to help enterprises accelerate their machine learning training projects.

Databricks Machine Learning also provides a new ML-focused start page that surfaces the new ML capabilities and resources, with quick access to Experiments, the Feature Store, and the Model Registry.

Data and AI platform developer Databricks has surpassed $100 billion in market cap with its $1 billion Series K funding round ...

Leverages Databricks runtime to maximize the speed of feature engineering Compatibility with Databricks tool ecosystem, e.g. manage dotData’s AI-features by Databricks’ Feature Store Installed as a ...

Discover how Databricks revolutionizes enterprise AI with its integrated approach to data-powered AI. Streamline processes for optimal performance!

In addition, Databricks offers AutoML, Feature Store, pipelines, MLflow, and SHAP (SHapley Additive exPlanations) capabilities. I went through a hands-on tutorial using Databricks Machine Learning ...

The data marketplace and other features are expected to accelerate data engineering tasks with an option for data monetization down the road, Databricks said.

Databricks Feature Store: Streamline ML at scale with simplified feature sharing and discovery Machine learning models are built using features, which are the attributes used by a model to make a ...