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

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  • © 2018

Overview

  • 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)

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Table of contents (29 chapters)

  1. Big Data

  2. Incomplete/Inconsistent Data and Uncertain Reasoning

  3. Data Modeling and Querying

Keywords

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 SaccĂ 

  • 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 SaccĂ 

  • 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

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