Project description
New systems for today’s data-driven applications
The infrastructure for data management is growing fast. For accurate predictions, modern data-driven applications leverage large, heterogeneous data collections to uncover interesting patterns. They also build robust machine-learning models for accurate predictions. As a result, new systems have been developed with traditional, high-performance computing and the architecture of underlying hardware clusters. There is also a trend toward complex data analysis pipelines that combine different systems. The EU-funded DAPHNE project will define an open and extensible systems infrastructure for integrated data analysis pipelines. It will build a reference implementation of language abstractions (APIs and a domain-specific language) and an intermediate representation, as well as compilation and runtime techniques.
Fields of science
- natural scienceschemical sciencesanalytical chemistryquantitative analysis
- natural sciencescomputer and information sciencesdata science
- natural sciencescomputer and information sciencessoftware
- social scienceseconomics and businesseconomicsproduction economicsproductivity
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
8010 Graz
Austria
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Participants (13)
8020 Graz
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51147 Koln
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8092 Zuerich
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14482 Potsdam
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106 82 Athina
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9500 Villach
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80 298 Gdansk
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2300 Kobenhavn
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9524 Villach St Magdalen
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01069 Dresden
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2000 Maribor
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4051 Basel
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10623 Berlin
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