BI4MASSES - Business Intelligence for the Masses
ABSTRACT
Computer Science
Numerous databases, data processing engines have been developed in the past, but the stateof-the-art in this domain can
simply be summarized as “enterprise-class desktop applications”. The proposed project will consist of four major phases
each taking about 1 year and each consisting of four parts. PHASE1 is the design and implementation of a scalable distributed
cloud infrastructure as a service. It is followed in PHASE2 by the design and implementation of the data mining and reporting
service over the infrastructure developed in PHASE1. In PHASE3, we focus on developing the real-time data stream and
complex event processing service. Finally, in PHASE4 we will develop and demonstrate the intelligent applications using
the platform services developed in phases 2 and 3. We also plan to use open-source software methodologies and tools and
provide open access to each architectural layer through web services.
Yrd. Doç. Dr.
İsmail Arı
DEPARTMENT
Computer Science
CONTACT
[email protected]
FUNDING SCHEME
EC - Marie Curie International
Reintegration Grants
START DATE
02.07.2010
2010 International Grants
Whoever can process more data faster and turn it into useful information quickly becomes a global leader in today’s digital
world. There may be millions of personal computers and thousands of supercomputers in the world, but the analysis of
both stored and streaming data keeps lagging due to the lack of online, easy-to-use, and semi-automated data processing
and analytics software. USA has made breakthrough progress over the last decade both academically and industrially in
the KDE field and there is ongoing work towards realizing the so called “Business Intelligence (BI) for the Masses” vision.
Other recent news suggest that India and China may also be making significant progress in the same direction. Therefore, it
is crucial for Europe to boost investments in novel CC-based KDE technologies. This objective of this proposal is to design
and implement an on-demand, integrated, and scalable cloud analytics technology with a high potential for wide-scale use
and impact.
DURATION
48 months
OZU BUDGET
100.000,00 EUR
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