SPEAKER
Michael
Armbrust
/
Databricks
Michael Armbrust is a committer and PMC member of Apache Spark and the original creator of Spark SQL, Structured Streaming and Delta Lake. He currently tech-leads the Lakeflow organization at Databricks. He received his PhD from UC Berkeley in 2013, and was advised by Michael Franklin, David Patterson, and Armando Fox. His thesis focused on building systems that allow developers to rapidly build scalable interactive applications and specifically defined the notion of scale independence. His interests broadly include distributed systems, large-scale structured storage and query optimization.
Michael’s sessions
Michael will be contributing to these sessions at Data + AI Summit 2025:
Data Engineering and Streaming
Getting the Most Out of DLT: A Deep Dive on What’s New and Best Practices
Data Engineering and Streaming
Introducing Lakeflow: The Future of Data Engineering on Databricks
Data Engineering and Streaming
Declarative Pipelines: Simplifying Data Engineering Workloads
Keynote
Thursday Keynote
Data Engineering and Streaming
Spark Talk: Everything Spark, DLT, and Open Source
Previous events
Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.
See archive