Featureform
Build feature engineering workflows with Featureform and Redis.
Featureform helps data teams define, materialize, and serve machine learning features by using a declarative Python SDK on top of existing data systems.
Featureform works with offline systems such as Snowflake, BigQuery, and Databricks or Spark, then uses Redis as the low-latency online store for feature serving.
Get started
- Overview
- Quickstart
- Connect providers
- Define datasets and transformations
- Define features and labels
- Work with training sets and feature views
Next steps
What this section covers
- The Python SDK workflow for registering providers, datasets, transformations, entities, features, labels, training sets, and feature views
- The distinction between metadata registration and materialization in the current API
- Point-in-time correct feature definitions for both batch and streaming workflows