Feature Store Architectures and Technical Challenges

Explore feature store architectures and technical challenges in this comprehensive seminar presented by Simba Khadder from FeatureForm. Delve into the ML⇄DB Seminar Series hosted by the CMU Database Group, covering topics such as feature vs signal, orchestrators, streaming, logs, stream processing, feature store size, and materialization. Learn about the FeatureForm architecture and gain insights into monitoring concept drift. Understand what feature stores solve and don't solve in the realm of machine learning and database management.

Introduction
Agenda
Feature Story
Feature vs Signal
What we dont solve
Feature Store Architectures
Orchestrators
Streaming
Logs
Stream Processing
Feature Store Size
Feature Store Materialization
FeatureForm Architecture
Monitoring Concept Drift