Peter Boncz
Full Name
Prof.dr. P.A. Boncz
Email
Phone
+31 20 592 4309
Room
L316
Department(s)
Function(s)
Scientific Staff Member, Groupleader
Homepage
Publications
All publicationsAwards
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Test of Time Award at the Conference on Innovative Data Systems Research (CIDR) (2024)
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VLDB 2023 Best paper award for "The LDBC Social Network Benchmark: Business Intelligence Workload" (2023)
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Best Paper Award at the International Conference on Data Engineering (ICDE) (2020)
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Best paper runner up award, International Conference on Scientific and Statistical Database Management (SSDBM 2017) (2017)
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Humboldt Research Award (2013)
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VLDB 10-year - Best Paper Award - 27 August (2009)
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DaMoN workshop - with Marcin Zukowski, Niels Nes and Sandor Héman (2008)
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DaMoN workshop - with Sandor Héman, Niels Nes and Marcin Zukowski (2007)
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ICT Regie Award (2006)
Professional activities
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Committee member: DaMoN steering committee
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Founder: MonetDB BV
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Editor: Journal: VLDB Journal
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Professor: Vrije Universiteit Amsterdam - [VU] - Large-Scale Analytical Data Management
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Founder: Linked Data Benchmark Council (ldbcouncil.org)
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Founder: GRADES workshop series
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Honorary Position: Hans Fischer Senior Fellow - TU Munich
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Founder: of Data Science Platform Netherlands (datascienceplatform.org)
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Advisor: Databricks Corp
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Board Member: Secretaris Data Science Platform Netherlands (DSPN)
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Speaker: Keynote speaker - HardBD International Workshop on Big Data Management on Emerging Hardware, ICDE 2018
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Board Member: Board of Directors of the CIDR organization 2020-2025
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Speaker: Keynote speaker - EDBT 2022
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Honorary Position: ACM Fellow
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Speaker: Keynote speaker - AMW 2023
Current projects with external funding
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Databricks CWI Research Agreement (Databricks)
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Databricks III (Databricks III)
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Democratizing Insight Retrieval from (Semi-)Structured Data (DataLibra) (DataLibra)
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Lokale Digitale Competentie centra (DCC) (DCC-NWO-I)
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Velox Optimizations and supporting new file formats (Meta)
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Motherduck Service Agreement (Motherduck)
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RelationalAI-CWI Research Grant Agreement (RelationalAI)
Courses
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Large Scale Data Engineering(1 Sep 2023 - 1 Nov 2023)