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A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years [electronic resource] /

Contributor(s): Flesca, Sergio [editor.] | Greco, Sergio [editor.] | Masciari, Elio [editor.] | Saccà, Domenico [editor.] | SpringerLink (Online service).
Series: Studies in Big Data: 31Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Edition: 1st ed. 2018.Description: IX, 502 p. 95 illus. | Binding - Card Paper |.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319618937.Subject(s): Computer Engineering | Artificial Intelligence | Big Data/Analytics | Data Mining and Knowledge DiscoveryDDC classification: 006.3 Online resources: Click here to access eBook in Springer Nature platform. (Within Campus only.) In: Springer Nature eBookSummary: This book offers readers a comprehensive guide to the evolution of the database field from its earliest stages up to the present—and from classical relational database management systems to the current Big Data metaphor. In particular, it gathers the most significant research from the Italian database community that had relevant intersections with international projects. Big Data technology is currently dominating both the market and research. The book provides readers with a broad overview of key research efforts in modelling, querying and analysing data, which, over the last few decades, have became massive and heterogeneous areas.
List(s) this item appears in: Springer Nature eBooks
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This book offers readers a comprehensive guide to the evolution of the database field from its earliest stages up to the present—and from classical relational database management systems to the current Big Data metaphor. In particular, it gathers the most significant research from the Italian database community that had relevant intersections with international projects. Big Data technology is currently dominating both the market and research. The book provides readers with a broad overview of key research efforts in modelling, querying and analysing data, which, over the last few decades, have became massive and heterogeneous areas.

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