Semih Salihoğlu is an Associate Professor and a current David R. Cheriton Faculty Fellow at University of Waterloo’s Cheriton School of Computer Science and member of the Data Systems Research Group. His research focuses on developing systems for managing, querying, and performing analytics on graph-structured data. His main on-going systems project is Kùzu, which is a new graph database management system that integrates novel storage, indexing and query processing techniques. He holds a PhD from Stanford University and is a recipient of the VLDB 2018 Best Paper and the VLDB 2022 Best Experiments and Analysis Paper awards.
Introduction to the Kùzu graph database management system (GDBMS) under development at University of Waterloo. Kùzu aims to integrate state-of-art storage, indexing, and query processing techniques to highly optimize for this feature set. I will start by presenting the overall vision of Kùzu and then talk about the novel join operators in the system that performs joins using compressed factorized representations of intermediate tables. Kùzu is actively being developed to be a fully functional open-source DBMS with the goal of wide user adoption and under a permissible license.
What You Will Learn
Datasets and workloads of popular applications that use GDBMSs require a set of storage and query processing features that relational DBMSs (RDBMSs) do not traditionally optimize for. These include optimizations for: (i) many-to-many (m-n) joins; (ii) cyclic joins; (iii) recursive joins; (iv) semi-structured data storage; and (v) support for universal resource identifiers.
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Date – Monday, December, 5th
Time – noon to 1pm