SPEAKER
Tathagata
Das
/
Databricks
Tathagata Das is a Staff Software Engineer at Databricks and has been one of the core developers of Apache Spark (especially Structured Streaming) and Delta Lake. He is a member of Apache Spark PMC, and a Delta Lake committer. He is also one of the authors of Learning Spark: Lighting-fast Data Analytics (2nd edition). Previously, he was a grad student in the UC Berkeley at AMPLab where he conducted research about data-center processing frameworks and networks with Scott Shenker and Ion Stoica.
Tathagata’s sessions
Tathagata will be contributing to these sessions at Data + AI Summit 2025:
Data Lakehouse Architecture and Implementation
Open Source Unity Catalog: Getting Started, Best Practices and Governance at Scale
Data Lakehouse Architecture and Implementation
Extending the Lakehouse: Power Interoperable Compute With Unity Catalog Open APIs
Previous events
Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.
See archive