Monday, January 14, 2019 4:00 PM EST

Christian Gorenflo, PhD candidate
David R. Cheriton School of Computer Science

Blockchain technologies are expected to make a significant impact on a variety of industries. However, one issue holding them back is their limited transaction throughput, especially compared to established solutions such as distributed database systems. 

Monday, January 14, 2019 10:30 AM EST

Verena Kantere
School of Electrical Engineering and Computer Science, University of Ottawa

Big Data analytics in science and industry are performed on a range of heterogeneous data stores, both traditional and modern, and on a diversity of query engines. Workflows are difficult to design and implement since they span a variety of systems. To reduce development time and processing costs, some automation is needed.

Friday, January 11, 2019 1:00 PM EST

Anthony Anthony, Master’s candidate
David R. Cheriton School of Computer Science

Friday, January 11, 2019 11:00 AM EST

Noah Murad, Master’s candidate
David R. Cheriton School of Computer Science

Tuesday, January 8, 2019 3:00 PM EST

Si Chuang Li, Master’s candidate
David R. Cheriton School of Computer Science

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