Description
Leader of the group Database Architectures: Stefan Manegold.
We are a top database systems research group, active in the broad area of data management systems and infrastructure for supporting data science. Our group has a strong international reputation in academia and industry for pioneering column store technology, fast compression methods, vectorized query execution, on-line query-driven indexing (cracking), adaptive caching and integration of statistical languages and analysis in database systems.
We develop, distribute and maintain the MonetDB open-source system, and we have spawned multiple spin-off companies, including Data Distilleries, VectorWise and MonetDB Solutions. We also operate a self-built cluster, SciLens, that – unlike many other computer clusters – is bandwidth-optimized and thus better suited as a data-science infrastructure. We pride ourselves on revealing the real problems in our discipline and coming up with revolutionary solutions that are frequently ahead of their time.
Vacancies
PhD Students in the areas of Big Data Management and Analysis Architectures and Data Science Engineering Technologies
Three fully funded PhD positions are available to work under the direction of prof. Stefan Manegold on big data management technology with a particular focus on hardware-conscious data structures and algorithms in distributed and cloud environments as well as the integration of data mining and machine learning into large-scale data management systems.
News
CWI and MonetDB in Big Data research project
Leiden Institute of Advanced Computer Science (LIACS) has received a grant award from NWO for a joint proposal with Centrum Wiskunde & Informatica (CWI), CWI spin-off MonetDB (Amsterdam), Tata Steel (IJmuiden) and BMW (Munich).
Researchers develop online fire monitoring service
In cooperation with European research partners, researchers of the Centrum Wiskunde & Informatica (CWI) in Amsterdam have developed the technical infrastructure of an online fire monitoring service.
Editie.NL reportage "Emoties, zo 2014"
RTL4 maakte voor Editie.NL de reportage "Emoties, zo 2014", over de emotieherkennings-demo die binnen het COMMIT/ onderzoeksprogramma SWEET is onwikkeld. Voor het SWEET project heeft de Database Architectures groep van CWI de database technologie geleverd. Alle data die door de verschillende sensors wordt gegenereerd, wordt verzameld in de door CWI ontwikkelde MonetDB database.
Database consulting company MonetDB Solutions newest spin-off CWI
Centrum Wiskunde & Informatica (CWI) is announcing the foundation of its new spin off MonetDB Solutions, a consulting company specialised in the development of database technologies for Business Analytics.
Members of Database Architectures
Publications
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Raasveldt, M, & Mühleisen, H.F. (2017). Don't hold my data hostage - A case for client protocol redesign. In Proceedings of the VLDB Endowment.
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Sidirourgos, E, & Mühleisen, H.F. (2017). Scaling column imprints using advanced vectorization. Presented at the Thirteenth International Workshop on Data Management on New Hardware. doi:10.1145/3076113.3076120
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CWI gaat samenwerking aan met Databricks - executive-people.nl - 29-04-2017. (2017). CWI gaat samenwerking aan met Databricks - executive-people.nl - 29-04-2017.
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Database-onderzoek en vooruitlopen op de toekomst - computable.nl - 25-04-2017. (2017). Database-onderzoek en vooruitlopen op de toekomst - computable.nl - 25-04-2017.
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CWI en Databricks gaan samenwerken - engineerslonline.nl - 25-04-2017. (2017). CWI en Databricks gaan samenwerken - engineerslonline.nl - 25-04-2017.
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Database-onderzoek en voorlopen op de toekomst - Computable - 31-03-2017. (2017). Database-onderzoek en voorlopen op de toekomst - Computable - 31-03-2017.
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Database-onderzoek en voorlopen op de toekomst - Computable - 31-03-2017. (2017). Database-onderzoek en voorlopen op de toekomst - Computable - 31-03-2017.
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Gawade, M.M. (2017, February 15). Multi-core parallelism in a column-store. SIKS Dissertation Series.
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Mühleisen, H.F, Bertram, A, & Kallen, M-J. (2017). Database-Inspired Optimizations for Statistical Analysis. Journal of Statistical Software.
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CWI'er Martin Kersten is benoemd tot ACM Fellow 2016 - Computable -12-12-16. (2016). CWI'er Martin Kersten is benoemd tot ACM Fellow 2016 - Computable -12-12-16.
Software
MonetDB: high-performance query processing against very large databases
MonetDB is a relational database management system (DBMS) providing high performance on complex queries against large databases.
Current projects with external funding
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Actian CWI Research Grant
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Capturing the Laws of Data Nature
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CIMPLOCross-Industry Predictive Maintenance Optimization Platform
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DAMIOSOData Mining on High Volume Simulation Output
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DatabricksDatabricks CWI Research Agreement
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LADLAD: Layered Astronomical Databases
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PROMIMOOCProcess mining for multi-objective online control
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Scilens-IIThe SciLens-II Infrastructure, Big Data at work
Related partners
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Actian Corporation
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BMW Munich
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Databricks
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LIACS Institute
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MonetDB B.V.
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Tata Steel