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A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years25\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$+$$\end{document} Years of Query Processing - From a Single, Stored Data Set to Big Data (and Beyond)

A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years:... [From the late 1970s, the database research community has devoted huge efforts in devising more and more effective and efficient solutions for processing queries against data. In this chapter, we retrace some of challenges that have been faced in the last 25 years to enable data to be effectively and efficiently queried and how the notions of queries and query processing themselves have evolved during these five lusters.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years25\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$+$$\end{document} Years of Query Processing - From a Single, Stored Data Set to Big Data (and Beyond)

Part of the Studies in Big Data Book Series (volume 31)
Editors: Flesca, Sergio; Greco, Sergio; Masciari, Elio; Saccà, Domenico
Springer Journals — May 31, 2017

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Publisher
Springer International Publishing
Copyright
© Springer International Publishing AG 2018
ISBN
978-3-319-61892-0
Pages
77 –91
DOI
10.1007/978-3-319-61893-7_5
Publisher site
See Chapter on Publisher Site

Abstract

[From the late 1970s, the database research community has devoted huge efforts in devising more and more effective and efficient solutions for processing queries against data. In this chapter, we retrace some of challenges that have been faced in the last 25 years to enable data to be effectively and efficiently queried and how the notions of queries and query processing themselves have evolved during these five lusters.]

Published: May 31, 2017

Keywords: Continuous Queries; Adaptive Query Processing Techniques; Preference-based Queries; Dataspace; Query Relaxation

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