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Title Mapping rules for schema transformation Subtitle SQl to NoSQL and back Author info Roman Čerešňák, Adam Dudáš ... [et al.] Author Čerešňák Roman (50%)
Co-authors Dudáš Adam 1992- (20%) UMBFP05 - Katedra informatiky
Matiaško Karol (10%)
Kvet Michal (20%)
Source document Information and Digital Technologies 2021 : proceedings of the international conference, Žilina, 22.06.2021-24.06.2021. Pp. 58-64. - Danvers : Institute of Electrical and Electronics Engineers IEEE, 2021 ; Information and Digital Technologies 2021 international conference Note v obsahu dokumentu je iné poradie autorov Keywords schémy transformácie mapovacie pravidlá - mapping rules Form. Descr. príspevky v zborníku - proceedings papers Language English Country United States of America Annotation Efficient way of storing data has always been a key requirement for a properly designed database system. With the growing demand for this property, the first concept of an efficient data storage called relational databases was developed in the 1960s this type of databases is still used as the primary data storage to this day. In recent years, however, relational databases have failed to deal with two aspects of modern data: large volumes of data and unstructured data. In order to solve the mentioned problems looser databases with a flexible structure and a more efficient way of working with large volumes of data have been created. In many cases, non-relational databases also called NoSQL databases, have become a replacement for relational databases. Several applications require migration from relational to non-relational databases based on suitable properties while there is number of problems associated with this migration. Moving records from a relational database to a non-relational URL Link na plný text Public work category AFD No. of Archival Copy 50368 Repercussion category PERETIATKO, Mariia - SHIROKOPETLEVA, Mariia - LESNA, Natalya. Research of methods to support data migration between relational and document data storage models. In Innovative technologies and scientific solutions for industries [online]. 2022, vol. 20, no. 2, pp. 64-74 [cit. 2023-03-03]. ISSN 2524-2296. Dostupné na: https://doi.org/10.30837/ITSSI.2022.19.064
AGGOUNE, Aicha - NAMOUNE, Mohamed Sofiane. P3 process for object-relational data migration to NoSQL document-oriented datastore. In International journal of software science and computational intelligence. ISSN 1942-9045, 2022, vol. 14, no. 1, pp. 1-20.
BANSAL, Neha - SACHDEVA, Shelly - AWASTHI, Lalit K. Schema generation for document stores using workload-driven approach. In Journal of supercomputing. ISSN 0920-8542, 2024, vol. 80, no. 3, pp. 4000-4048.
GYORODI, Cornelia A. - TURTUREANU, Tudor - GYORODI, Robert S. - ZMARANDA, Doina R. Implementing a synchronization method between a relational and a non-relational database. In Big data and cognitive computing. ISSN 2504-2289, 2023, vol. 7, no. 3, pp. 1-17.
BANSAL, Neha - SACHDEVA, Shelly - AWASTHI, Lalit K. Query-based denormalization using hypergraph (QBDNH) : a schema transformation model for migrating relational to NoSQL databases. In Knowledge and information systems. ISSN 0219-1377, 2023, vol. 66, no. 1, pp. 681-722.
Catal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Database xpca - PUBLIKAČNÁ ČINNOSŤ 
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Title Dátová veda a jej aplikácie Subtitle spracované v rámci národného projektu IT Akadémia - vzdelávanie pre 21. storočie vysokoškolské učebné texty Author info Ľubomír Antoni, Ján Paralič ... [et al.]; rec. Peter Ševčík, Dávid Hudák ... [et al.] Author Antoni Ľubomír (3%)
Co-authors Paralič Ján (4%)
Butka Peter (4%)
Babič František (4%)
Sarnovský Martin (4%)
Bednár Peter (4%)
Gurský Peter (4%)
Galčík František (3%)
Opiela Miroslav (4%)
Krídlo Ondrej (4%)
Kuzma Miron (3%)
Bruoth Erik (3%)
Šebej Juraj (3%)
Kekeňák Tomáš (3%)
Andrejková Gabriela (4%)
Šveda Dušan (4%)
Kapusta Jozef (4%)
Drlík Martin (4%)
Munk Michal (4%)
Benko Ľubomír (4%)
Vozár Martin (4%)
Siládi Vladimír 1970- (3%) UMBFP05 - Katedra informatiky
Vagač Michal 1977- (3%) UMBFP05 - Katedra informatiky
Jankovič Peter (4%)
Kvaššay Miroslav (4%)
Kvet Michal (4%)
Varga Michal (4%)
Another authors Ševčík Peter (Recenzent)
Hudák Dávid (Recenzent)
Jacko Milan (Recenzent)
Aštary Matej (Recenzent)
Issue data Košice : Univerzita Pavla Jozefa Šafárika v Košiciach , 2020. - 188 s. Issue 1. vyd. ISBN 978-80-8152-917-7 Keywords dáta - údaje - data dátové analýzy vysokoškolské učebné texty Form. Descr. učebné texty - educational texts Language Slovak Country Slovak Republic URL Link na plný text Public work category BCI No. of Archival Copy 48867 Catal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Database xpca - PUBLIKAČNÁ ČINNOSŤ 
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