CORDIS Project
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ASAP proposes an open-source framework for scalable data analytics, allowing diverse data and compute models. It aims to enhance task-parallel programming, resource evaluation, and real-time visualization, making it adaptable for various analytics tasks across different domains.
This project proposes a unified, open-source execution framework for scalable data analytics.
Data analytics tools have become essential for harnessing the power of our era's data deluge.
Current technologies are restrictive, as their efficacy is usually bound to a single data and compute model, often depending on proprietary systems.
The main idea behind ASAP is that no single execution model is suitable for all types of tasks and no single data model (and store) is suitable for all types of…
FOUNDATION FOR RESEARCH AND TECHNOLOGYHELLAS
IDRYMA TECHNOLOGIAS KAI EREVNAS
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Austria, WIEN
Type: SME
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: Yes
Switzerland, Geneve
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
France, MONTREUIL
Type: SME
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: Yes
RESEARCH UNIVERSITY INSTITUTE OF COMMUNICATION AND COMPUTER SYSTEMS
Greece, ATHINA
Type: Research institute
Activity type: Research Organisations
SME: No
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