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VectorWise Technology: Current State And Research Challenges
Speaker: Dr. Peter Boncz Researcher at CWI Amsterdam, Netherlands Title: "VectorWise Technology: Current State And Research Challenges" Date: Monday, 10 August 2009 Time: 10:00am - 11:00am Venue: Room 3501 (via lifts 25/26), HKUST Abstract: In this talk, I will describe the technology of VectorWise, a new CWI spin-out company building a high performance database system focusing on analytical applications. I will discuss the roots of this technology found in the MonetDB/X100 project, and summarize the achievements of the past year of development at VectorWise. The innovations in VectorWise can be found in an extremely efficient execution kernel based on the principle of vectorized execution, numerous architecture-conscious techniques, a hybrid compressed row/columnar storage scheme, and new data structures and algorithms for handling updates. VectorWise is a company with strong relations with academia, and the purpose of this talk is to stimulate thought and discussion about future cooperation. *************** Biography: Peter Boncz is a researcher in the database architecture research group (INS1) of CWI since 2002. He obtained his Ph.D. degree at the University of Amsterdam in 2002 with research on the use of columnar storage and architecture-conscious query processing techniques for analysis-oriented applications such as data warehousing. This work resulted in the open-source MonetDB database system. His research interests include database architecture, P2P systems, XML and RDF query processing, and architecture-conscious database techniques. He also co-started the DaMoN workshop series that has brought together architecture-conscious researchers at the last five editions of SIGMOD/PODS. Peter also was a co-founder of Data Distilleries BV, that used MonetDB in commercial data mining technology, and was acquired by SPSS in 2002. He recently founded VectorWise, a spin-off created around the CWI-developed MonetDB successor system X100, the topic of this talk.