AXLE

Advanced Analytics for EXtremely Large European Databases

Coordinatore	2ND QUADRANT LIMITED    more  Organization address address: HIGH STREET, SANDALL HOUSE HERNE 230 city: KENT contact info Titolo: Mr. Nome: Simon Cognome: Riggs Email: send email Telefono: +44 870 766 7756
Nazionalità Coordinatore	United Kingdom [UK]
Totale costo	3˙746˙410 €
EC contributo	2˙948˙465 €
Programma	FP7-ICT Specific Programme "Cooperation": Information and communication technologies
Code Call	FP7-ICT-2011-8
Funding Scheme	CP
Anno di inizio	2012
Periodo (anno-mese-giorno)	2012-11-01   -   2015-10-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	2ND QUADRANT LIMITED  Organization address address: HIGH STREET, SANDALL HOUSE HERNE 230 city: KENT contact info Titolo: Mr. Nome: Simon Cognome: Riggs Email: send email Telefono: +44 870 766 7756	UK (KENT)	coordinator	0.00
2	BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION  Organization address address: Calle Jordi Girona city: BARCELONA contact info Titolo: Ms. Nome: Gina Cognome: Alioto Email: send email Telefono: +34 93 413 7972 Fax: +34 93 413 7721	ES (BARCELONA)	participant	0.00
3	PORTAVITA BV  Organization address address: Oostenburgervoorstraat city: Amsterdam contact info Titolo: Mr. Nome: Olivier Cognome: Marchesini Email: send email Telefono: 31624240638 Fax: +31 20 8200 501	NL (Amsterdam)	participant	0.00
4	THE UNIVERSITY OF MANCHESTER  Organization address address: OXFORD ROAD city: MANCHESTER contact info Titolo: Ms. Nome: Liz Cognome: Fay Email: send email Telefono: +44 161 275 7114	UK (MANCHESTER)	participant	0.00
5	UNIVERZA V LJUBLJANI  Organization address address: KONGRESNI TRG city: LJUBLJANA contact info Titolo: Dr. Nome: Janez Cognome: Demsar Email: send email Telefono: +386 1 4768 813 Fax: +386 1 2418650	SI (LJUBLJANA)	participant	0.00

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 Obiettivo del progetto (Objective)

AXLE focuses on automatic scaling of complex analytics, while addressing the full requirements of real data sets.Real data sources have many difficult characteristics. Sources often start small and can grow extremely large as business/initiatives succeed, so the ability to grow seamlessly and automatically is at least as important as managing large data volumes once you know you have them. Extremely large data stores have added concerns such as data quality, privacy, security and auditability.Aspects of the project will include* Scalability Engineering - Autopartitioning, Compression* Security, Privacy and Audit Techniques* Visual Analytics* Advanced Architectures for Hardware and Software

Validation will be carried out by industrial consortium partners with access to large volumes of private medical data, as well as other wide ranging data from other interested parties.Software features will be released as commercially-usable open source code, and submitted for wide use as core parts of the PostgreSQL database or Orange visualisation project, or pluggable extensions for those tools.