CUDA Python at Nvidia
Andy is a technical executive with multiple startup experiences implementing distributed, large data applications. In his previous academic research, he is known for creating novel algorithms to speed implementations of mathematical models on the world’s largest supercomputers. Andy received his Computer Science PhD at the University of Chicago in 2010. He has held research positions at Argonne National Lab, Sandia National Lab, Institute of Computational Engineering and Sciences at The University of Texas-Austin, and the Texas Advanced Computing Center. In industry, Andy was part of the founding teams at Kove, Anaconda, BoldMetrics, KindHealth, and REX Real Estate Exchange.
WATCH LIVE: april 20 @ 1:30PM – 2:00PM ET
Data Engineering is exploding, but everyone is just hooking up pipes and triggers. When the next person comes on after your tour of duty, they have to unwind use cases and business logic that never belongs in the ETL script to begin with. There is a better way and it was invented for the semantic web, but almost nobody knows it. In this talk, we look at how to bolt on semantics to your data ecosystem helping to produce fewer bugs, better documented code, true separation of concerns, and faster development.