Editors:
- Presents a comprehensive overview of the evolution of the database research field from classical relational database management systems to the current big data metaphor
- Approaches the evolution of research on databases from different but unified perspectives
- Illustrates the perspectives of several research groups in Italy that actively collaborate with leading research groups around the world
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Big Data (SBD, volume 31)
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (29 chapters)
-
Front Matter
-
Big Data
-
Front Matter
-
-
Incomplete/Inconsistent Data and Uncertain Reasoning
-
Front Matter
-
About this book
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.
Editors and Affiliations
-
University of Calabria, Rende, Italy
Sergio Flesca, Sergio Greco, Domenico Saccà
-
ICAR-CNR, Rende, Italy
Elio Masciari
Bibliographic Information
Book Title: A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years
Editors: Sergio Flesca, Sergio Greco, Elio Masciari, Domenico Saccà
Series Title: Studies in Big Data
DOI: https://doi.org/10.1007/978-3-319-61893-7
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-61892-0Published: 08 June 2017
Softcover ISBN: 978-3-319-87187-5Published: 12 May 2018
eBook ISBN: 978-3-319-61893-7Published: 29 May 2017
Series ISSN: 2197-6503
Series E-ISSN: 2197-6511
Edition Number: 1
Number of Pages: IX, 502
Number of Illustrations: 95 b/w illustrations
Topics: Computational Intelligence, Big Data, Artificial Intelligence, Big Data/Analytics, Data Mining and Knowledge Discovery