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A methodology for data migration between different database management systems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F12%3AA13014Q5" target="_blank" >RIV/61988987:17310/12:A13014Q5 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    A methodology for data migration between different database management systems

  • Original language description

    In present days the area of data migration is very topical. Current tools for data migration in the area of relational database have several disadvantages that are presented in this paper. We propose a me-thodology for data migration of the database tables and their data between various types of relational database systems (RDBMS). The proposed methodology contains an expert system. The expert system contains a knowledge base that is composed of IF-THEN rules and based on the input data suggests appropriate data types of columns of database tables. The proposed tool, which contains an expert system, also includes the possibility of optimizing the data types in the target RDBMS database tables based on processed data of the source RDBMS database tables.The proposed expert system is shown on data migration of selected database of the source RDBMS to the target RDBMS.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2012

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    A methodology for data migration between dif-ferent database management systems

  • ISSN

    2010-376X

  • e-ISSN

  • Volume of the periodical

    65

  • Issue of the periodical within the volume

    May

  • Country of publishing house

    AE - UNITED ARAB EMIRATES

  • Number of pages

    6

  • Pages from-to

    80-85

  • UT code for WoS article

  • EID of the result in the Scopus database