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This workshop aims to teach basic Feast concepts & best practices by example. We walk through how to address common use cases and architectures.
This workshop assumes you have the following installed:
See also: Feast quickstart
These are meant mostly to be done in order, with examples building on previous concepts.
| Setting up Feast projects & CI/CD + powering batch predictions | Module 0 |
| Online feature retrieval with Kafka, Spark, Redis | Module 1 |
| On demand feature views | Module 2 |
| Versioning features / models in Feast | TBD |
| Data quality monitoring in Feast | TBD |
| Feature server deployment (embed, as a service, AWS Lambda) | TBD |