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LeanBigData is the Best European R&D Cooperation Project
LeanBigData (Ultra-Scalable and Ultra-Efficient Integrated and Visual Big Data Analytics), a project from INESCTEC’s High Assurance Software Laboratory (HASLab) and Centre for Information Systems and Computer Graphics (CSIG), received the madri+d Award for Best European R&D Cooperation Project.
The madri+d Foundation for Knowledge gives this excellence award to international and collaborative R&D projects.
It was HASLab that started this project in February 2014, which consists of a system capable of combining the capacities of two different types of data – operational and analytical data. LeanBigData faces three big challenges related to finding solutions for the analytical processing of Big Data: the cost associated with scheduling the analytical processing of Big Data to analyse dynamic sequences and static sources; the lack of integration of existing technologies to manipulate Big Data and their high response times; and the insufficient support provided to the end user, which leads to extremely long analysis cycles.
The INESC TEC team is led by Rui Oliveira (HASLab), and includes José Orlando Pereira, José Nuno de Oliveira, Miguel Matos, Ricardo Vilaça and Fábio Coelho from HASLab. In CSIG, the research team is led by Alexandre Valle de Carvalho and includes, among others, Carlos Aldeias and Marco Amaro Oliveira.
With a duration of 36 months, LeanBigData is an innovative and disruptive system that makes it possible to save 80% of business analytics costs, which are now invested in a copy of the operational database to the analytical database.
The project consortium includes nice organisations from six countries: INESC TEC and Portugal Telecom (Portugal), Universidad Politecnica de Madrid, Computer Associates and ATOS (Spain), Intel (Ireland), FORTH, Institute of Communication and Computer Systems (Greece), and SyncLab SRL (Italy).
The madri+d award is given to research projects approved by the European
Commission as part of the EU’s 7th Framework Programme, coordinated by research
groups from Universities and Research Centres of Madrid.
INESC TEC, February 2015