log in  |  register  |  feedback?  |  help  |  web accessibility
Accelerating Modern Data Analytics
Remy Wang
CSI 1115, Zoom Link-https://umd.zoom.us/j/92977540316?pwd=NVF2WTc5SS9RSjFDOGlzcENKZnNxQT09
Monday, February 27, 2023, 11:00 am-12:00 pm Calendar
  • You are subscribed to this talk through .
  • You are watching this talk through .
  • You are subscribed to this talk. (unsubscribe, watch)
  • You are watching this talk. (unwatch, subscribe)
  • You are not subscribed to this talk. (watch, subscribe)

Modern data analytics requires capabilities beyond those offered by traditional data processing systems. On one hand, today’s data come in many different forms, be it graphs, matrices, or tensors; on the other, analysis tasks are becoming more and more complex, often involving complex operations running iteratively. These new challenges demand ever greater efficiency from the data processing system. My research builds on the relational foundation of data management systems, but evolves it to meet the demands of modern data analytics. In this talk, I will present three lines of work that push the state of art of modern relational data processing: 1. A new algorithm for the relational join, 2. Optimization techniques for relational programs, and 3. A new language for relational programming. I conclude with my vision for a relational future of programming.

Remy Wang is a PhD student at University of Washington. He works at the intersection of Databases and Programming Languages. He develops languages, theory and tools to help data analysts conduct complex tasks efficiently. His research has been recognized with best paper awards from PODS, POPL and OOPSLA.
This talk is organized by Richa Mathur