News
Database Architectures group news
Meet Turing Award winner Michael Stonebraker at ADS Meetup
In the wake of the Conference on Innovative Data Systems Research (CIDR), several of its high-profile participants will speak at a special public meetup “ADS Meets CIDR”.
CWI research collaboration leads to 100 million euro investment in Amsterdam
CWI’s research partner Databricks announced it will invest 100 million euros to expand its Amsterdam office. The company aims to grow to hundreds of R&D engineers. Databricks settled in Amsterdam nearly three years ago because of its research collaboration with CWI.
MonetDB Solutions secures investment from ServiceNow
MonetDB Solutions, a company formed by researchers at CWI, announces an investment from digital workflow company ServiceNow to help large enterprises drive digital transformation.
MonetDB Solutions ontvangt investering van ServiceNow
MonetDB Solutions, opgericht door onderzoekers van Centrum Wiskunde & Informatica (CWI), maakt vandaag bekend dat het een investering ontvangt van het Amerikaanse servicemanagement-bedrijf ServiceNow.
Responsible use of Data key theme in successful SIGMOD/PODS 2019 Amsterdam
Drawing over 1000 visitors and record industry sponsorship, this year’s edition of the ACM SIGMOD/PODS conference turned Amsterdam into the world’s hotspot for data management research. The week-long conference on one evening also featured the biggest ever Amsterdam Data Science (ADS) meetup for local data scientists.
CWI spin-off company Dataspex offers solutions to big data challenges in astronomy
Centrum Wiskunde & Informatica (CWI) has launched a new spin-off: Dataspex. The new company offers big data management solutions to astronomers.
CWI-spin-off Dataspex biedt big data-oplossingen voor de astronomie
Centrum Wiskunde & Informatica (CWI) heeft een nieuwe spin-off gelanceerd: Dataspex. Het nieuwe bedrijf biedt big data management-oplossingen voor de astronomie.
Mark Raasveldt wins Student Research Competition at SIGMOD 2018
Mark Raasveldt, PhD student at CWI’s Database Architecture (DA) group, won the Student Research Competition at the SIGMOD 2018 conference for his work titled "MonetDBLite: An Embedded Analytical Database".
Hardman new chair Amsterdam Data Science, Boncz joins Supervisory Board
As of January 2018, CWI researcher Lynda Hardman is the new chair of the management team of Amsterdam Data Science. Peter Boncz, CWI researcher and part of the CWI management team, will join the ADS Supervisory Board.
CWI Database Architecture researchers awarded with best paper runner up award at SSDBM
Researchers of CWI's Database Architecture group have been awarded with a best paper runner up award at 29th International Conference on Scientific and Statistical Database Management (SSDBM 2017) in Chicago. The researchers received the award for their paper 'Multi Hypothesis CSV-parsing' by authors Till Döhmen, Hannes Mühleisen and Peter Boncz.
CWI en Databricks lanceren samenwerking in aanwezigheid van minister Kamp
Op 25 april 2017 lanceren CWI en het big data analyse- en data science software-bedrijf Databricks een nieuwe samenwerking. Dat gebeurt bij de Hannover Messe, in aanwezigheid van Minister Kamp van Economische Zaken.
CWI & Databricks: Big Data in Amsterdam
Amsterdam wants to play a leading international role in the development of data science research. In Big Data Amsterdam, Financieele Dagblad journalist Job Woudt interviews Amsterdam Data Science researchers on the functioning of the ecosystem where companies and knowledge institutions in Amsterdam collaborate in the area of Big Data.
Making a tedious search a breeze: parallel query execution in multi-core systems
When you request information from a huge database, you might want to grab a cup of coffee and sit back, because your request may take a while. How can we optimize searches for information, specifically in a multi-core processing unit? The answer may lie in parallel queries, which run simultaneously on different processors.
Martin Kersten appointed ACM Fellow
CWI fellow Martin Kersten has been appointed as one of the 2016 fellows of the Association of Computing Machinery (ACM).
CWI ontwikkelt nieuwe technieken voor verkennen data
CWI develops new tools for data exploration
PhD student Thibault Sellam from CWI developed new tools to explore large databases. It allows explorative users to find interesting information hidden inside a database, with little or no knowledge of the data beforehand.
Martin Kersten receives 2016 SIGMOD Systems Award
Martin Kersten is the recipient of the 2016 SIGMOD Systems Award for the design and implementation of MonetDB, a pioneering main-memory database system based on a columnar data organization.
CWI spin-off MonetDB Solutions helps building ExaNeSt platform
In a new EU project MonetDB Solutions helps to showcase the future generation ExaNeSt platform, which consists of up to 10 million of low-cost and low-energy ARM processors. The CWI spin-off will evaluate the platform with extremely compute-intensive big data analytics applications.
Efficient method to make changes in compressed database
PhD student Sándór Héman from CWI developed a new method to compress a large database, allowing for a much faster transport of data from storage to processor. Furthermore he developed efficient algorithms to make changes within such a compressed storage layout.
Tracing Stars with MonetDB in the Cloud
The Dutch database technology company MonetDB Solutions and CWI will develop new techniques to facilitate the storage and analysis of the vast data volumes from the Square Kilometre Array (SKA) telescope. The project will be funded by a grant in the AstroCompute in the Cloud program of the SKA Organization (SKAO) and Amazon Web Services (AWS).
Hannes Mühleisen in media about insecure wifi in trains
Hannes Mühleisen, a postdoc researcher at CWI, recently found that he could see too much information from the wifi network in NS trains, which are passing close by his home - a houseboat in Amsterdam near Central Station. The network information is not encrypted.
Veni grants for Daniel Dadush and Hannes Mühleisen
The Netherlands Organisation for Scientific Research (NWO) has awarded Veni grants to Daniel Dadush and Hannes Mühleisen of CWI. The funding allows these researchers, who have recently obtained their PhD, to conduct independent research and develop their ideas for a period of three years.
Big Data at High Performance
Computer hardware systems have evolved from monolithic machines in which each component performed one specific task, to complex systems with a wide range of heterogeneous components such as spinning disks, SSDs, RAM, and CPUs.
CWI spin-off MonetDB Solutions teams up with Numascale
CWI spin-off company MonetDB Solutions and the Norwegian appliance company Numascale have joined forces to develop database appliances that enable companies and organizations to perform easier and more affordable big data analytics.
Stefan Manegold benoemd tot hoogleraar Universiteit Leiden
Stefan Manegold appointed professor at Leiden University
Starting from 15 September 2014, Stefan Manegold, of the Centrum Wiskunde & Informatica (CWI) in Amsterdam, has been appointed Professor for Data Management at the Faculty of Science of Leiden University.
Internationale innovatieprijs naar Martin Kersten
International innovation award to Martin Kersten
Martin Kersten, Research fellow at the Centrum Wiskunde & Informatica (CWI) is awarded the 2014 SIGMOD Edgar F. Codd Innovations Award, the most prestigious prize for researchers who have made innovative and significant contributions to database systems and databases.
Database Indexes for the Big Data Era
Researchers of Centrum Wiskunde & Informatica (CWI) in Amsterdam have developed new methods to index huge databases. These space efficient indexes are lightweight to build and maintain and grow less than linear with the size of the data sets.
CWI in Europees onderzoek precisielandbouw
Steeds vaker worden aardobservatiedata door organisaties als ESA en NASA publiek beschikbaar gesteld. In combinatie met andere gegevens kan deze data tot nieuwe waardevolle toepassingen leiden.