Integration of Relational and NoSQL Databases

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10395680" target="_blank" >RIV/00216208:11320/19:10395680 - isvavai.cz</a>

Výsledek na webu

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=qGy_uHyPto" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=qGy_uHyPto</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1142/S2196888819500210" target="_blank" >10.1142/S2196888819500210</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Integration of Relational and NoSQL Databases

Popis výsledku v původním jazyce

The analysis of relational and NoSQL databases leads to the conclusion that these data processing systems are to some extent complementary. In the current Big Data applications, especially where extensive analyses (so-called Big Analytics) are needed, it turns out that it is non trivial to design an infrastructure involving data and software of both types. Unfortunately, the complementarity negatively in°uences integration possibilities of these data stores both at the data model and data processing levels. In terms of performance, it may be bene-cial to use a polyglot persistence, a multimodel approach or multilevel modeling, or even to transform the SQL database schema into NoSQL and to perform data migration between the relational and NoSQL databases. Another possibility is to integrate a NoSQL database and relational database with the help of a third data model. The aim of the paper is to show these possibilities and present some new methods of designing such integrated database architectures.

Název v anglickém jazyce

Integration of Relational and NoSQL Databases

Popis výsledku anglicky

The analysis of relational and NoSQL databases leads to the conclusion that these data processing systems are to some extent complementary. In the current Big Data applications, especially where extensive analyses (so-called Big Analytics) are needed, it turns out that it is non trivial to design an infrastructure involving data and software of both types. Unfortunately, the complementarity negatively in°uences integration possibilities of these data stores both at the data model and data processing levels. In terms of performance, it may be bene-cial to use a polyglot persistence, a multimodel approach or multilevel modeling, or even to transform the SQL database schema into NoSQL and to perform data migration between the relational and NoSQL databases. Another possibility is to integrate a NoSQL database and relational database with the help of a third data model. The aim of the paper is to show these possibilities and present some new methods of designing such integrated database architectures.

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

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OECD FORD obor

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

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název periodika

Vietnam Journal of Computer Science

ISSN

2196-8896

e-ISSN

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Svazek periodika

6

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

VN - Vietnamská socialistická republika

Počet stran výsledku

17

Strana od-do

389-405

Kód UT WoS článku

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EID výsledku v databázi Scopus

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