The Dutch Seminar
on Data Systems Design

An initiative to bring together research groups working on data systems in Dutch universities and research institutes.

Fridays4–5:30 pm
bi-weekly

We hold bi-weekly talks on Fridays from 4:00 PM to 5:30 PM CET for and by researchers and practitioners designing (and implementing) data systems. The objective is to establish a new forum for the Dutch Data Systems community to come together, foster collaborations between its members, and bring in high quality international speakers. We would like to invite all researchers, especially also PhD students, who are working on related topics to join the events. It is an excellent opportunity to receive feedback early on by researchers in your field.

Upcoming talks

December 17, 2021, 4:00PM-5:30PM (CET)

16th Seminar

The 16th seminar of DSDSD will feature talks by
Kaijie Zhu (TU Eindhoven)
Michael Schmidt (Amazon Web Services) .

read more
Dec 17, 2021

Leveraging temporal and topological selectivities in temporal-clique subgraph query processing

Kaijie Zhu (TU Eindhoven)

We study the problem of temporal-clique subgraph pattern matching. In such patterns, edges are required to jointly overlap in time within a given temporal window in addition to forming a topological sub-structure. This problem arises in many application domains, e.g., in social networks, life sciences, smart cities, telecommunications, and others.

Dec 17, 2021

OneGraph to Rule them All

Michael Schmidt (Amazon Web Services)

At Amazon Neptune, we work backwards from our customers. One insight that we got from listening to customers is that, in many cases where they explore Neptune as a solution to their problems, it’s primarily “just about graph”: they want to use the relationships in their data to solve business problems using knowledge graphs, identity graphs, fraud graphs, and more.

Past talks

Dec 17, 2021

OneGraph to Rule them All

Michael Schmidt (Amazon Web Services)

At Amazon Neptune, we work backwards from our customers. One insight that we got from listening to customers is that, in many cases where they explore Neptune as a solution to their problems, it’s primarily “just about graph”: they want to use the relationships in their data to solve business problems using knowledge graphs, identity graphs, fraud graphs, and more.

read more

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