Building Real-Time ML Features with Feast, Spark, Redis, and Kafka | Tecton

Tecton

Building Real-Time ML Features with Feast, Spark, Redis, and Kafka

Workshop: Building Real-Time ML Features with Feast, Spark, Redis, and Kafka

This workshop will focus on the core concepts underlying Feast, the open source feature store. We’ll explain how Feast integrates with underlying data infrastructure including Spark, Redis, and Kafka, to provide an interface between models and data. We’ll provide coding examples to showcase how Feast can be used to:

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