Explore the core concepts of Feast, the open-source feature store, in this comprehensive workshop. Learn how Feast integrates with underlying data infrastructure including Spark, Redis, and Kafka to provide an interface between models and data. Gain insights from Danny Chiao, Engineering Lead at Tecton, and Achal Shah, Software Engineer at Tecton, as they share their expertise in building next-generation feature stores and machine learning platforms. Discover how to leverage these technologies to build real-time ML features and enhance your machine learning workflows in production environments.
Building Real-Time ML Features with Feast, Spark, Redis, and Kafka
MLOps World: Machine Learning in Production via YouTube
Overview
Syllabus
Building Real-Time ML Features with Feast, Spark, Redis, and Kafka
Taught by
MLOps World: Machine Learning in Production
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