New Abstractions Enabling Operational ML
Mike Del Balso, CEO & Co-founder, Tecton
The ML data engineering conference presented by 
apply() Session + Video Archive
How Robinhood Built a Feature Store Using Feast
Yuyang (Rand) Xie, Senior Machine Learning Engineer, Robinhood
Streaming Architecture with Kafka, Materialize, dbt, and Tecton
Emily Hawkins, Data Infrastructure Lead, Drizly
High Performance Feature Serving with Feast on AWS
Willem Pienaar, Feast Committer and Tech Lead, Tecton
How Shopify Contributed to Scale Feast
Matt Delacour, Senior Software Engineer, Shopify
Financially Responsible Feature Engineering
Joshua Hansen, ML Platform Tech Lead, Atlassian
Geoff Sims, Principal Data Scientist, Atlassian
Bringing Feast 0.10 to AWS
Stepan Pushkarev, CTO, Provectus
Building a Feature Store to Reduce the Time to Production of ML Models
Emiliano Martin, Sr. Software Engineer, Mercado Libre
Feature Stores at Spotify: Building & Scaling a Centralized Platform
Aman Khan, Product Manager, Spotify
Rethinking Feature Stores with Feast and Tecton
Mike Del Balso, CEO & Co-founder, Tecton
Willem Pienaar, Feast Committer and Tech Lead, Tecton
Tackling Fraud with Tecton
Matt Bleifer, Group Product Manager, Tecton
Redis as an Online Feature Store
Taimur Rashid, Chief Business Development Officer, Redis Labs
Feature Stores at Tide
Hendrik Brackmann, Director of Data Science and Analytics, Tide