Defining Features
The following sections will teach you how to use the Tecton framework to define batch, stream, and on-demand feature pipelines. We recommend starting by reading the Tecton Framework Overview.
📄️ Framework Overview
Tecton makes building operational ML data flows and consuming ML data as easy as
🗃️ Data Sources
2 items
📄️ Entities
An entity is an object that can be modeled and that has features associated with
🗃️ Feature Views
8 items
📄️ Feature Tables
Available for Tecton on Databricks or EMR. Coming to Tecton on Snowflake in a
📄️ Feature Services
Feature Services group features from
📄️ Example Feature Repos
Check out these sample Tecton feature repositories for end-to-end examples and
Sample Repositories
Each Feature View section has a page with definition examples. You can also check out complete Tecton sample repositories for more end-to-end examples best practices: