Welcome to the Data Systems Group

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.

  1. Mar. 6, 2019Q&A with Professor Xi He, a new faculty member at the Cheriton School of Computer Science
    photo of Professor Xi He

    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.

  2. Feb. 15, 2019University Professor M. Tamer Özsu receives 2018 Lifetime Achievement Award in Computer Science
    photo of Professor Professor M. Tamer Özsu

    University Professor M. Tamer Özsu has received the 2018 Lifetime Achievement Award in Computer Science from CS-Can/Info-Can. Conferred annually since 2014, these prestigious national awards recognize faculty members in departments, schools and faculties of computer science who have made outstanding and sustained achievement in research, teaching and service.

  3. Oct. 22, 2018Virginia first state to use technology-assisted review to classify publicly released Kaine Administration emails
    Research Professor Maura Grossman and Professor Gordon Cormack

    Technology-assisted review (TAR) — an automated process used to select and prioritize documents for review, pioneered by Research Professor Maura Grossman and Professor Gordon Cormack — was used for the first time by a state archive to classify emails from the administration of former Virginia Governor Tim Kaine for release to the public.

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  1. Aug. 7, 2019DSG Seminar Series • Title TBD

    Speaker: Spyros Blanas, The Ohio State University

    Abstract:

    Bio:

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