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Multi-model Data Management: What's New and What's Next?

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F17%3A10336047" target="_blank" >RIV/00216208:11320/17:10336047 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.5441/002/edbt.2017.80" target="_blank" >http://dx.doi.org/10.5441/002/edbt.2017.80</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5441/002/edbt.2017.80" target="_blank" >10.5441/002/edbt.2017.80</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Multi-model Data Management: What's New and What's Next?

  • Original language description

    As more businesses realized that data, in all forms and sizes, is critical to making the best possible decisions, we see the continued growth of systems that support massive volume of non-relational or unstructured forms of data. Nothing shows the picture more starkly than the Gartner Magic quadrant for operational database management systems, which assumes that, by 2017, all leading operational DBMSs will offer multiple data models, relational and NoSQL, in a single DBMS platform. Having a single data platform for managing both well-structured data and NoSQL data is beneficial to users; this approach reduces significantly integration, migration, development, maintenance, and operational issues. Therefore, a challenging research work is how to develop efficient consolidated single data management platform covering both relational data and NoSQL to reduce integration issues, simplify operations, and eliminate migration issues. In this tutorial, we review the previous work on multi-model data management and provide the insights on the research challenges and directions for future work.

  • 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

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 20th International Conference on Extending Database Technology

  • ISBN

    978-3-89318-073-8

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    4

  • Pages from-to

    602-605

  • Publisher name

    OpenProceedings.o

  • Place of publication

    Venice, Italy

  • Event location

    Venice, Italy

  • Event date

    Mar 21, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article