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BigDataStack - High-performance data-centric stack for big data applications and operations
Last updated: 2021-10-28 02:15
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 | 01/01/2018 |
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| End Date | 31/12/2020 |
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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) -
ATOS SPAIN SA (Spain) -
DANAOS SHIPPING COMPANY LIMITED (Cyprus) -
GFT ITALIA SRL (Italy) -
IBM ISRAEL - SCIENCE AND TECHNOLOGY LTD (Israel) -
LEANXCALE SL (Spain) -
NEC EUROPE LTD (United Kingdom) -
RED HAT ISRAEL LTD (Israel) -
SINGULARLOGIC ROMANIA COMPUTER APPLICATIONS SRL (Romania)
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