10:30 AM | Ask Me Anything: MLflow, MLOps, and MLflow Pipelines

11:00 AM | Sponsored Session: Productionalizing User Classification: Leveraging DLH-Centric Classification Models for Product Analytics, Donny Flynn, Census

11:40 AM | Ask Me Anything: Delta Committers

12:10 PM | Sponsored Session: Architecting for Data Quality in the Lakehouse with Delta Lake and PySpark, Prateek Chawla, Monte Carlo

12:45 PM | Lightning Talk: Bridging the Communication Gap Within Your Agile Data Team: BDD Testing for PySpark, Vicky Avison

2:00 PM | Sponsored Session: Data Monetization Matters: How to Get Paid for All that Data in the Cloud, Paul Scott-Murphy, WANdisco

2:40 PM | Ask Me Anything: Spark, Pandas API, and more

3:05 PM | Achieving End-to-End Data Trust with Monte Carlo, Monte Carlo

3:25 PM | Lightning Talk: ML Doesn't Need To Be Expensive, Xinli Shang

3:45 PM | Lightning Talk: From Zero on SQL/Redash, Raphael Dayan

4:05 PM | Lightning Talk: Entity Resolution with Open Source Zingg, Sonal Goyal

4:25 PM | Lightning Talk: How We Save $1M Yearly in Resources and Yet Improve Our Customer Experience, Gal Fins

4:45 PM | Lightning Talk: Globally optimized and automated data/ML pipelines on the cloud, Erica Lin

5:05 PM | Lightning Talk: Scaling with Databricks to Run Thousands of Data Pipelines: Design and Architecture Best Practices, Kiran Hiremath