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
An entity is an object that can be modeled and that has features associated with
🗃️ Feature Views
📄️ Feature Tables
This feature is not supported in Tecton on Snowflake Public Preview.
📄️ Feature Services
Feature Services are sets of features which are exposed as an API. This API can
📄️ Example Feature Repos
Check out these sample Tecton feature repositories for end-to-end examples and
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: