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Multi-Model Data Modeling and Representation: State of the Art and Research Challenges

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10433354" target="_blank" >RIV/00216208:11320/21:10433354 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1145/3472163.3472267" target="_blank" >http://dx.doi.org/10.1145/3472163.3472267</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/3472163.3472267" target="_blank" >10.1145/3472163.3472267</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Multi-Model Data Modeling and Representation: State of the Art and Research Challenges

  • Original language description

    Following the current trend, most of the well-known database systems, being relational, NoSQL, or NewSQL, denote themselves as multi-model. This industry-driven approach, however, lacks plenty of important features of the traditional DBMSs. The primary problem is a design of an optimal multi-model schema and its sufficiently general and efficient representation. In this paper, we provide an overview and discussion of the promising approaches that could potentially be capable of solving these issues, along with a summary of the remaining open problems.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/GA20-22276S" target="_blank" >GA20-22276S: Unified Management of Multi-Model Data</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    IDEAS 2021: 25th International Database Engineering &amp; Applications Symposium

  • ISBN

    978-1-4503-8991-4

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    242-251

  • Publisher name

    ACM

  • Place of publication

    New York, NY, USA

  • Event location

    Montreal, Canada

  • Event date

    Jul 14, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article