A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years (häftad)
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Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
502
Utgivningsdatum
2018-05-12
Upplaga
Softcover reprint of the original 1st ed. 2018
Förlag
Springer International Publishing AG
Medarbetare
Flesca, Sergio (ed.), Greco, Sergio (ed.), Masciari, Elio (ed.), Saccà, Domenico (ed.)
Illustrationer
95 Illustrations, black and white; IX, 502 p. 95 illus.
Dimensioner
234 x 156 x 26 mm
Vikt
713 g
Antal komponenter
1
Komponenter
1 Paperback / softback
ISBN
9783319871875

A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years

av Sergio Flesca, Sergio Greco, Elio Masciari, Domenico Sacc
Häftad,  Engelska, 2018-05-12
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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 presentand 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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Sergio Flesca, Sergio Greco, Elio Masciari, Domenico Sacc

Innehållsförteckning

The visual side of the data.- Digital Libraries: From Digital Resources to Challenges in Scientic Data Sharing and Re-use.- From Data Integration to Big Data Integration.- Matching Techniques for Data Integration and Exploration: fromDatabases to Big Data.- 25+ Years of Query Processing - From a Single, Stored Data Set to Big Data.- From Star Schemas to Big Data: 20+ Years of Data Warehouse Research.- A short account of techniques for assisting users in mastering BigData.- Multimedia, Similarity, and Preferences: Adding Flexibility to Your Information Needs.- Dealing with Inconsistency in Databases: An Overview.- First-order Ontology Mediated Database Querying via Query Reformulation.- Using ontologies for semantic data integration.- Schema Mappings: from Data Translation to Data Cleaning.

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