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YouTube

Global Feature Store - Optimizing Locally and Scaling Globally at Delivery Hero

MLOps.community via YouTube

Overview

Explore the concept of a Global Feature Store and its implementation at Delivery Hero in this insightful podcast episode. Dive into the innovative approaches of localizing MLOps practices within departments while striving for company-wide efficiency. Learn about the creation of micro feature stores and the vision of unifying them into a more powerful Global Feature Store. Discover the challenges and strategies in tech integration, data consistency, and multi-cloud approaches. Gain valuable insights on defining features and feature stores, distinguishing between feature stores and data platforms, and ensuring feature discoverability. Understand the importance of onboarding processes, feature testing, and maintaining data consistency in large-scale ML operations. This discussion offers a comprehensive look at cutting-edge MLOps practices and the future vision of feature stores in the context of a global food delivery platform.

Syllabus

[] Sai and Cole's preferred coffee
[] Takeaways
[] Please like, share, leave a review, and subscribe to our MLOps channels!
[] Life changes in Delivery Hero
[] Global Feature Store and Pandora
[] Tech integration strategies
[] Defining Feature and Feature Store
[] Feature Store vs Data Platform
[] Features are discoverable
[] Onboarding and Feature Testing
[] Data consistency
[] Future Vision Feature Store
[] Multi-cloud strategies
[] Wrap up

Taught by

MLOps.community

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