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New Database Architectures: Steps Towards Big Data Processing

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10138851" target="_blank" >RIV/00216208:11320/13:10138851 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    New Database Architectures: Steps Towards Big Data Processing

  • Original language description

    Both research and practice indicate that traditional universal DBMS architecture hardly satisfies new trends in data processing, particularly in the context of cloud computing and Big Data problems. New database architectures and their basic features will be described, particularly their horizontal scalability and concurrency model, which is mostly weaker than ACID transactions in relational SQL-like database systems. We focus on so called NoSQL databases which support solving, at least partially, Big Data problems. Some features of NoSQL databases like data models and querying capabilities are presented in more detail. We will also mention an overview of some their representatives. Finally, we point out on actual problems associated with current database research at all.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA13-08195S" target="_blank" >GA13-08195S: Highly Scalable Parallel and Distributed Methods of Data Processing in E-science</a><br>

  • Continuities

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

Others

  • Publication year

    2013

  • 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 IADIS International Conference Intelligent Systems and Agents 2013 and European Conference on Data Mining ECDM 13

  • ISBN

    978-972-8939-93-9

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    3-10

  • Publisher name

    IADIS Press

  • Place of publication

    Neuveden

  • Event location

    Praha

  • Event date

    Jul 22, 2013

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article