Reynold Xin

Reynold Xin is a third-year PhD student in the AMP Lab at UC Berkeley. He leads the development of the Shark project, which won the Best Demo Award at SIGMOD 2012. He is also the recipient of the inaugural Best Demo Award at VLDB 2011 for his work on the CrowdDB system. Before graduate school, he worked on ads infrastructure at Google and distributed databases at IBM. His interests include data management systems, distributed systems, and algorithms for large-scale data processing.

Content

Recent performance improvements in Apache Spark

February 18, 2015

The goal is to offer a single platform where users can get the best distributed algorithms for any data processing task.