BigDataStack - High-performance data-centric stack for big data applications and operations
Stakeholders
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UNIVERSIDAD POLITECNICA DE MADRID (Spain) -
UNIVERSITY OF GLASGOW (United Kingdom) -
UNIVERSITY OF PIRAEUS RESEARCH CENTER (Greece) -
ATHENS TECHNOLOGY CENTER ANONYMI BIOMICHANIKI EMPORIKI KAI TECHNIKI ETAIREIA EFARMOGON YPSILIS TECHNOLOGIAS (Greece)
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ATOS SPAIN SA (Spain)
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DANAOS SHIPPING COMPANY LIMITED (Cyprus) -
GFT ITALIA SRL (Italy) -
IBM ISRAEL - SCIENCE AND TECHNOLOGY LTD (Israel) -
LEANXCALE SL (Spain)
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NEC EUROPE LTD (United Kingdom)
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RED HAT ISRAEL LTD (Israel)
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SINGULARLOGIC ROMANIA COMPUTER APPLICATIONS SRL (Romania)
Strategic Goals
BigDataStack promotes automation and quality and ensures that the provided data are meaningful, of value and fit-for- purpose through its Data as a Service offering that addresses the complete data path with approaches for data cleaning, modelling, semantic interoperability, and distributed storage.
Solutions Developed / Used
BigDataStack introduces a pioneering technique for seamless analytics which analyses data in a holistic fashion across multiple data stores and locations, handling analytics on both data in flight and at rest. Complemented with an innovative CEP running in federated environments for real-time, cross-stream processing, predictive algorithms and process mining, BigDataStack offers a complete suite for big data analytics.
Description
Start Date
End Date
Project Focus
- Enabler
- Regulator
Geographical Scope
- European
Keywords
- Federation
Cloud Delivery Model
- IaaS
Cloud Deployment Model
- Public
Project Life-Cycle Stage
- Research and Innovation
Industry
- Information and Communication
Technology
- Artificial Intelligence / Machine Learning
- Big Data