SPEAKER
Reynold
Xin

/
Databricks
Reynold Xin oversees technical contributions to Apache® Spark™ at Databricks, initiating efforts such as DataFrames and Project Tungsten. To demonstrate Spark’s scalability and performance, he led the efforts in the 2014 Daytona GraySort contest and set the 2014 world record, beating the previous record held by Hadoop with 30X higher per-node efficiency. Before Databricks, he was a PhD student at the UC Berkeley AMPLab, where he focused on scalable data processing. He wrote the highest cited papers in SIGMOD 2011, 2013, and 2015, and won the Best Demo Award at VLDB 2011 and SIGMOD 2012.
Reynold’s sessions
Reynold will be contributing to these sessions at Data + AI Summit 2025:
Keynote
Wednesday Keynote
Previous events
Take a look through the session archive to find even more related content from previous Data + AI Summit conferences.
See archive