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High-performance data-centric stack for big data applications and operations

High-performance data-centric stack for big data applications and operations

Objective

The new data-driven industrial revolution highlights the need for big data technologies to unlock the potential in various application domains. To this end, BigDataStack delivers a complete high-performant stack of technologies addressing the emerging needs of data operations and applications. The stack is based on a frontrunner infrastructure management system that drives decisions according to data aspects thus being fully scalable, runtime adaptable and performant for big data operations and data-intensive applications.
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.
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.
BigDataStack holistic solution incorporates approaches for data-focused application analysis and dimensioning, and process modelling towards increased performance, agility and efficiency. A toolkit allowing the specification of analytics tasks in a declarative way, their integration in the data path, as well as an adaptive visualization environment, realize BigDataStack’s vision of openness and extensibility.
With an emphasis on standardisation and open source contributions targeting high impact, BigDataStack will enable data operations and data-intensive applications to take full advantage of the developed technologies, exhibiting their applicability through three commercial use cases from the maritime, market and financing domains.
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Coordinator

IBM ISRAEL - SCIENCE AND TECHNOLOGY LTD

Address

94 Derech Em-Hamoshavot
49527 Petach Tikva

Israel

Activity type

Other

EU Contribution

€ 903 750

Participants (15)

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NEC EUROPE LTD

United Kingdom

RED HAT ISRAEL LTD

Israel

EU Contribution

€ 443 750

ATOS SPAIN SA

Spain

EU Contribution

€ 473 125

GFT ITALIA SRL

Italy

EU Contribution

€ 255 000

DANAOS SHIPPING COMPANY LIMITED

Cyprus

EU Contribution

€ 210 000

SINGULARLOGIC ROMANIA COMPUTER APPLICATIONS SRL

Romania

ATHENS TECHNOLOGY CENTER ANONYMI BIOMICHANIKI EMPORIKI KAI TECHNIKI ETAIREIA EFARMOGON YPSILIS TECHNOLOGIAS

Greece

EU Contribution

€ 285 000

LEANXCALE SL

Spain

EU Contribution

€ 390 137,50

UBITECH LIMITED

Cyprus

EU Contribution

€ 298 125

TRUST-IT SERVICES LIMITED

United Kingdom

EU Contribution

€ 187 500

UNIVERSITY OF PIRAEUS RESEARCH CENTER

Greece

EU Contribution

€ 393 187,50

UNIVERSIDAD POLITECNICA DE MADRID

Spain

EU Contribution

€ 288 500

UNIVERSITY OF GLASGOW

United Kingdom

EU Contribution

€ 273 750

NEC LABORATORIES EUROPE GMBH

Germany

EU Contribution

€ 345 700

SINGULARLOGIC ANONYMI ETAIREIA PLIROFORIAKON SYSTIMATON KAI EFARMOGON PLIROFORIKIS

Greece

EU Contribution

€ 252 187,50

Project information

Grant agreement ID: 779747

Status

Ongoing project

  • Start date

    1 January 2018

  • End date

    31 December 2020

Funded under:

H2020-EU.2.1.1.

  • Overall budget:

    € 4 999 712,50

  • EU contribution

    € 4 999 712,50

Coordinated by:

IBM ISRAEL - SCIENCE AND TECHNOLOGY LTD

Israel