The Data Systems Group at the University of Waterloo's Cheriton School of Computer Science builds innovative, high-impact platforms, systems, and applications for processing, managing, analyzing, and searching the vast collections of data that are integral to modern information societies — colloquially known as “big data” technologies.
Our capabilities span the full spectrum from unstructured text collections to relational data, and everything in between including semi-structured sources such as time series, log data, graphs, and other data types. We work at multiple layers in the software stack, ranging from storage management and execution platforms to user-facing applications and studies of user behaviour.
Our research tackles all phases of the information lifecycle, from ingest and cleaning to inference and decision support.
News
AI should not leave structured data behind!
The following is an article written by Professor Ihab Ilyas, a faculty member of the Data Systems Group and the Thomson Reuters Research Chair in Data Cleaning from Theory to Practice.
Charles Clarke, Gordon Cormack and colleagues win 2019 ACM SIGIR Test of Time Award
Cheriton School of Computer Science Professors Charlie Clarke and Gordon Cormack, Management Sciences Professor Olga Vechtomova, along with their former graduate students Maheedhar Kolla, Azin Ashkan, Stefan Büttcher and
Q&A with Professor Xi He, a new faculty member at the Cheriton School of Computer Science
Xi He joined the David R. Cheriton School of Computer Science as an assistant professor in March 2019. She received her BS in computer science and applied mathematics from the University of Singapore in 2012 and her PhD in computer science from Duke University in 2018. Her research is on privacy and security for big-data management and analysis.
