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A comprehensive guide through the It...

Flesca, Sergio.

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A comprehensive guide through the Italian database research over the last 25 years

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A comprehensive guide through the Italian database research over the last 25 years/ edited by Sergio Flesca ... [et al.].
其他作者:	Flesca, Sergio.
出版者:	Cham :Springer International Publishing : : 2018.,
面頁冊數:	ix, 502 p. :ill., digital ;24 cm.
內容註:	The visual side of the data -- Digital Libraries: From Digital Resources to Challenges in Scientiﬁc Data Sharing and Re-use -- From Data Integration to Big Data Integration -- Matching Techniques for Data Integration and Exploration: from Databases 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 Big Data -- 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.
Contained By:	Springer eBooks
標題:	Databases - Research. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-61893-7
ISBN:	9783319618937

A comprehensive guide through the Italian database research over the last 25 years
A comprehensive guide through the Italian database research over the last 25 years[electronic resource] /edited by Sergio Flesca ... [et al.]. - Cham :Springer International Publishing :2018. - ix, 502 p. :ill., digital ;24 cm. - Studies in big data,v.312197-6503 ;. - Studies in big data ;v.31..

The visual side of the data -- Digital Libraries: From Digital Resources to Challenges in Scientiﬁc Data Sharing and Re-use -- From Data Integration to Big Data Integration -- Matching Techniques for Data Integration and Exploration: from Databases 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 Big Data -- 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.

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.

ISBN: 9783319618937

Standard No.: 10.1007/978-3-319-61893-7doiSubjects--Topical Terms:

3295074
Databases
--Research.

LC Class. No.: QA76.9.D32

Dewey Class. No.: 005.74

A comprehensive guide through the Italian database research over the last 25 years
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520 $a 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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