Tuesday, October 11, 2:05pm - 2:30pm (EDT)
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Speaker: Dustin Hamerla, Disney Streaming
Disney Streaming is a diverse streaming service comprising video-on-demand, live sports and tv, and pay per view events. The personalized and seamless experience for this vast user base is powered by many machine learning based solutions running on a robust ML platform comprising a feature store, workflow orchestration and management system, and a model development and deployment ecosystem.
In this talk, we will describe our journey towards building Encanto, an in-house feature store. Encanto enables different models to consume curated and easily discoverable features in various computing environments through a standardized set of APIs. In particular, it serves a dual purpose: a) row-oriented data store for serving features at low latency to nearline and online models; and b) column-oriented storage for large sets of features to run batch training and inference workflows. Furthermore, Encanto decouples feature engineering - the process of computing features from one or more heterogeneous sources (e.g. event streams, message queues, and data lake) - from model development, enabling time-travel and lifecycle management for features.
Feature Store Summit 2022