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Content archived on 2024-06-18

Advanced Analytics for EXtremely Large European Databases

Project description


Intelligent Information Management

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.

Fields of science (EuroSciVoc)

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Programme(s)

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Topic(s)

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Call for proposal

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FP7-ICT-2011-8
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Funding Scheme

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CP - Collaborative project (generic)

Coordinator

2ND QUADRANT LIMITED
EU contribution
€ 1 088 500,00
Address
HIGH STREET, SANDALL HOUSE HERNE
CT6 5AX KENT
United Kingdom

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Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
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Total cost

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Participants (4)

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