Helmholtz Portfolio Theme Large-Scale Data Management and Analysis (LSDMA)

• Autore: Jung Christopher [Hrsg.]Meyer, Jörg [Hrsg.]Streit, Achim [Hrsg.]
• Pubblicazione: KIT Scientific Publishing, 2017
• Descrizione fisica: 1 electronic resource (V, 259 p. p.)
• Soggetto non controllato: Data Science; Datenlebenszyklus; Datenmanagement; data management; data analysis; data science; Big Data; Datenanalyse; data life cycle
• Sommario/riassunto: The Helmholtz Association funded the ""Large-Scale Data Management and Analysis"" portfolio theme from 2012-2016. Four Helmholtz centres, six universities and another research institution in Germany joined to enable data-intensive science by optimising data life cycles in selected scientific communities. In our Data Life cycle Labs, data experts performed joint R&D together with scientific communities. The Data Services Integration Team focused on generic solutions applied by several communities.
• Altri titoli varianti: Helmholtz Portfolio Theme Large-Scale Data Management and Analysis
• Titolo autorizzato: Helmholtz Portfolio Theme Large-Scale Data Management and Analysis (LSDMA)
• ISBN: 1000071931
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910346960303321
• Lo trovi qui: Univ. Federico II