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
Xi He coauthors book, Differential Privacy for Databases
Xi He is an Assistant Professor at the Cheriton School of Computer Science and a member of the Data Systems Group. Her research interests span privacy and security for big-data management and analysis.
M. Tamer Özsu receives 2022 IEEE Innovation in Societal Infrastructure Award
University Professor M. Tamer Özsu has received the 2022 IEEE Innovation in Societal Infrastructure Award, an honour conferred for significant technological achievements and contributions that establish, develop and proliferate innovative societal infrastructure systems through the application of information technology with an emphasis on distributed computing systems.
Brad Glasbergen, Fangyu Wu and Khuzaima Daudjee receive Best Demonstration Award at SIGMOD/PODS 2021
Cheriton School of Computer Science PhD student Brad Glasbergen, recent CS undergraduate Fangyu Wu and Professor Khuzaima Daudjee have received the Best Demonstration Award at the 2021 ACM SIGMOD/PODS Conference for Dendrite, a proof-of-concept system they developed that allows data systems to adapt easily to changes in workload and system behaviour.