How do you know which feature store is right for your business? Let us answer that for you.
Feature stores are a crucial component in the MLOps stack, providing a systematic approach to managing, storing, and accessing features for machine learning models. In the Feature Store landscape, we’ve defined three categories of feature stores: literal, physical, and virtual.
Join us for a one-hour webinar to compare and contrast literal and virtual feature store architectures using the most popular OSS feature stores, Feast and Featureform.
What we will cover:
The architectural differences between Feast and Featureform and how they fit into an existing tech stack.
The impact of each feature store architecture on data management, collaboration, and the data science workflow.
Discuss some practical scenarios and their pros and cons with a literal and virtual feature store approach.
Participants will also have the opportunity to engage in a Q&A session.