AXLE
Advanced Analytics for EXtremely Large European Databases
| Coordinatore | 2ND QUADRANT LIMITED
Organization address
address: HIGH STREET, SANDALL HOUSE HERNE 230 contact info |
| 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
| # | ||||
|---|---|---|---|---|
| 1 |
2ND QUADRANT LIMITED
Organization address
address: HIGH STREET, SANDALL HOUSE HERNE 230 contact info |
UK (KENT) | coordinator | 0.00 |
| 2 |
BARCELONA SUPERCOMPUTING CENTER - CENTRO NACIONAL DE SUPERCOMPUTACION
Organization address
address: Calle Jordi Girona contact info |
ES (BARCELONA) | participant | 0.00 |
| 3 |
PORTAVITA BV
Organization address
address: Oostenburgervoorstraat contact info |
NL (Amsterdam) | participant | 0.00 |
| 4 |
THE UNIVERSITY OF MANCHESTER
Organization address
address: OXFORD ROAD contact info |
UK (MANCHESTER) | participant | 0.00 |
| 5 |
UNIVERZA V LJUBLJANI
Organization address
address: KONGRESNI TRG contact info |
SI (LJUBLJANA) | participant | 0.00 |
Mappa
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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.