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Framework for Managing Distinct Versions of Data in Relational Databases

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New Trends in Databases and Information Systems (ADBIS 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 637))

Abstract

Despite the growing number of different database and storage technologies, relational databases still support significant percent of internet and intranet applications due to their effectiveness in processing complex queries and capabilities to provide data integrity in concurrent data access. Most of modern relational DBMS develop their concurrent access models to meet the requirements of transaction consistency, but at the same time they lack tools that provide usability in complex scenarios of concurrent data processing, that require storing and retrieving multiple versions of the same tuple. This paper describes the high-level framework to manage multiple co-existing versions of data tuples, and to support complex workflows of concurrent data modifications, including “branched” versioning. The different aspects of design and implementation of such a system are discussed.

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Author information

Authors and Affiliations

  1. Don State Technical University, Rostov-on-Don, Russian Federation

    Makarov Stanislav

Authors
  1. Makarov Stanislav
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Corresponding author

Correspondence to Makarov Stanislav .

Editor information

Editors and Affiliations

  1. Faculty of Sciences, University of Novi Sad Faculty of Sciences, Novi Sad, Serbia

    Mirjana Ivanović

  2. Christian-Albrechts-Universität Kiel, Kiel, Germany

    Bernhard Thalheim

  3. University of Genoa, Genoa, Italy

    Barbara Catania

  4. Software Competence Cent. Hagenberg GmbH, Hagenberg, Austria

    Klaus-Dieter Schewe

  5. Riga Technical University, Riga, Latvia

    Mārīte Kirikova

  6. VSB-Technical University Ostrava, Ostrava, Czech Republic

    Petr Šaloun

  7. Georgia College and State University, Milledgeville, Georgia, USA

    Ajantha Dahanayake

  8. Politecnico di Torino, Torino, Italy

    Tania Cerquitelli

  9. Politecnico di Torino , Torino, Italy

    Elena Baralis

  10. EURECOM, Biot Sophia Antipolis cedex, France

    Pietro Michiardi

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© 2016 Springer International Publishing Switzerland

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Stanislav, M. (2016). Framework for Managing Distinct Versions of Data in Relational Databases. In: Ivanović, M., et al. New Trends in Databases and Information Systems. ADBIS 2016. Communications in Computer and Information Science, vol 637. Springer, Cham. https://doi.org/10.1007/978-3-319-44066-8_24

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  • DOI: https://doi.org/10.1007/978-3-319-44066-8_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-44065-1

  • Online ISBN: 978-3-319-44066-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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