What Data Engineers Should Know About Real-Time Analytics
Dhruba Borthakur, Co-Founder & CTO, Rockset
The ML data engineering conference presented by 
Apply() Session + Video Archive
[Open Source] Hamilton, a micro framework for creating dataframes, and its application at Stitch Fix
Stefan Krawczyk, Manager Data Platform, Stitch Fix
Data Engineering Isn't Like Software Engineering
Erik Bernhardsson, Ex-CTO, Better.com, Founder, working on something new
Using Redis as your Online Feature Store: 2021 highlights & 2022 directions
Ed Sandoval, Senior Product Manager, Redis
Guy Korland, CTO of Incubations, Redis
Data Transfer Challenges In Evaluating MLOps Platforms
Pardis Noorzad, Head of Data Science, Carbon Health
Redis? Dynamo? Cassandra? How to choose the right online store for your ML features.
Kevin Stumpf, Co-Founder and CTO, Tecton
Building feature stores on Snowflake
Miles Adkins, Partner Sales Engineer, AI & ML, Snowflake
Managing Data Infrastructure with Feast
Felix Wang, Software Engineer, Tecton
Twitter's Feature Store Journey
Tzvetelina Tzeneva, Staff ML Engineer, Twitter
ML Projects Aren't An Island
Ben Wilson, Principal Resident Solutions Architect, Databricks
The Data Engineering Lifecycle
Joe Reis, CEO & Co-Founder, Ternary Data
Using Feast in a Ranking System
Vitaly Sergeyev, Senior Software Engineer, Better.com
New Abstractions Enabling Operational ML
Mike Del Balso, Co-Founder & CEO, Tecton
Building Malleable ML Systems through Measurement, Monitoring & Maintenance
Karan Goel, PhD Student, Stanford University
How Robinhood Built a Feature Store Using Feast
Yuyang (Rand) Xie, Senior Machine Learning Engineer, Robinhood
ML Observability: Critical Piece of the ML Stack
Aparna Dhinakaran, Co-Founder & Chief Product Officer, Arize AI
Panel: Building High-Performance ML Teams
Neal Lathia, Associate Director, Machine Learning, Monzo Bank
Janakiram MSV, Principal Analyst, Janakiram and Associates
Kevin Stumpf, Co-Founder and CTO, Tecton
Alex Williams, Founder and Editor in Chief, The New Stack
Lex Beattie, Machine Learning Engagement Lead, Spotify
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
Quickly performing Exploratory Data Analysis with Rule-based Profiling
James Campbell, CTO, Superconductive