Temporal Data Management—An Overview

Michael Hanspeter Böhlen, Anton Dignös, Johann Gamper, Christian Søndergaard Jensen

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8 Citationer (Scopus)
142 Downloads (Pure)

Abstrakt

Despite the ubiquity of temporal data and considerable research on the effective and efficient processing of such data, database systems largely remain designed for processing the current state of some modeled reality. More recently, we have seen an increasing interest in the processing of temporal data that captures multiple states of reality. The SQL:2011 standard incorporates some temporal support, and commercial DBMSs have started to offer temporal functionality in a step-by-step manner, such as the representation of temporal intervals, temporal primary and foreign keys, and the support for so-called time-travel queries that enable access to past states.

This tutorial gives an overview of state-of-the-art research results and technologies for storing, managing, and processing temporal data in relational database management systems. Following an introduction that offers a historical perspective, we provide an overview of basic temporal database concepts. Then we survey the state-of-the-art in temporal database research, followed by a coverage of the support for temporal data in the current SQL standard and the extent to which the temporal aspects of the standard are supported by existing systems. The tutorial ends by covering a recently proposed framework that provides comprehensive support for processing temporal data and that has been implemented in PostgreSQL.
OriginalsprogEngelsk
TitelBusiness Intelligence and Big Data - 7th European Summer School, eBISS 2017, Tutorial Lectures
RedaktørerEsteban Zimanyi
Antal sider33
Vol/bind324
ForlagSpringer
Publikationsdato1 jan. 2018
Sider51-83
ISBN (Trykt)978-3-319-96654-0
ISBN (Elektronisk)978-3-319-96655-7
DOI
StatusUdgivet - 1 jan. 2018
BegivenhedEuropean Business Intelligence and Big Data Summer School -
Varighed: 2 jul. 20177 jul. 2017

Konference

KonferenceEuropean Business Intelligence and Big Data Summer School
Periode02/07/201707/07/2017
NavnLecture Notes in Business Information Processing
ISSN1865-1348

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  • Citationsformater

    Böhlen, M. H., Dignös, A., Gamper, J., & Jensen, C. S. (2018). Temporal Data Management—An Overview. I E. Zimanyi (red.), Business Intelligence and Big Data - 7th European Summer School, eBISS 2017, Tutorial Lectures (Bind 324, s. 51-83). Springer. Lecture Notes in Business Information Processing https://doi.org/10.1007/978-3-319-96655-7_3