Data can be a competitive advantage if used correctly. This track explores the technical challenges and lessons learned in managing distributed state in large-scale applications that reliably process millions of events per second. Learn proven strategies and gain new insights from leading practitioners into how to handle real-time data in streams and events.
Nathan Taylor is an Oakland-based software developer. He has hacked on low-level systems software such as the Twitter Java runtime and the Xen virtual machine monitor. Originally a Trombone major, he holds an M.Sc. from the University of British Columbia, where he researched full-system binary rewriting and dynamic analysis systems. When not in front of a computer, you're likely to find him either baking bread or suffering cycling up a steep hill.
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