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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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Cloud Delivery Model |
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Stakeholders
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UNIVERSIDAD POLITECNICA DE MADRID (Spain)
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UNIVERSITY OF GLASGOW (United Kingdom)
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UNIVERSITY OF PIRAEUS RESEARCH CENTER (Greece)
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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)
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GFT ITALIA SRL (Italy)
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IBM ISRAEL - SCIENCE AND TECHNOLOGY LTD (Israel)
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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)
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