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Metadata Extraction and Management in Data Lakes With GEMMS

In addition to volume and velocity, Big data is also characterized by its variety. Variety in structure and semantics requires new integration approaches which can resolve the integration challenges also for large volumes of data. Data lakes should reduce the upfront integration costs and provide a...

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Detalhes bibliográficos
Principais autores: Christoph Quix, Rihan Hai, Ivan Vatov
Formato: Artigo
Idioma:Inglês
Publicado em: Riga Technical University Press 2016-12-01
Colecção:Complex Systems Informatics and Modeling Quarterly
Assuntos:
Acesso em linha:https://csimq-journals.rtu.lv/article/view/1548
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