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Title Influencing migration processes by real-time data Author info Roman Čerešňák ... [et al.] Author Čerešňák Roman (75%)
Co-authors Matiaško Karol (10%)
Dudáš Adam 1992- (15%) UMBFP05 - Katedra informatiky
Source document Proceedings of the 28th conference of Open innovations association FRUCT : IEEE FRUCT 2021, Moscow, 27-29 January 2021. Pp. 48-54. - [S.l.] : FRUCT Oy, 2021 ; Open innovations association FRUCT medzinárodná vedecká konferencia Note Príspevok je evidovaný v databáze Scopus. Keywords databázové systémy - database systems pohybové dáta databázy - databases Form. Descr. príspevky v zborníku - proceedings papers Language English Country Finland URL Link na zdrojový dokument Public work category AFC No. of Archival Copy 49503 Repercussion category KVET, Michal. Database index balancing strategy. In Proceedings (Conference of open innovations association FRUCT), Tampere, 12th-14th May 2021. ISSN 2305-7254, 2021, art. no. 9435452, pp. 214-221.
NASERI SEYEDI NOUDOUST, Nasim - ADABI, Sahar - REZAEE, Ali. A quorum-based data consistency approach for non-relational database. In Cluster computing. ISSN 1386-7857, 2022, vol. 25, no. 2, pp. 1515-1540.
NETINANT, Paniti - SAENGSUWAN, Nattapat - RUKHIRAN, Meennapa - PUKDESREE, Sorapak. Enhancing data management strategies with a hybrid layering framework in assessing data validation and high availability sustainability. In Sustainability. ISSN 2071-1050, 2023, vol. 15, no. 20, pp. 1-28.
Catal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Database xpca - PUBLIKAČNÁ ČINNOSŤ 
article
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 article
Title Improvement of data searching in mongoDB with the use of oracle database Author info Roman Čerešňák, Karol Matiaško, Adam Dudáš Author Čerešňák Roman (70%)
Co-authors Matiaško Karol (10%)
Dudáš Adam 1992- (20%) UMBFP05 - Katedra informatiky
Source document 18th International multi-conference on systems, signals & devices (SSD). Pp. 1388-1393. - Piscataway : Institute of Electrical and Electronics Engineers, 2021 ; 18th International multi-conference on systems, signals & devices international conference Keywords dáta - údaje - data vyhľadávanie - search digitálne systémy databázy - databases optimalizácia - optimization Oracle MongoDB (databáza) - MongoDB (database) - Mongo Form. Descr. príspevky v zborníku - proceedings papers Language English Country Tunisia Annotation In the 1950s, the demand for useful data storage gained importance and with it relational databases started to play an essential role in many sectors. Nowadays, relational databases cannot effectively fulfill the demands for interactive web and mobile applications, which demand flexibility and scalability for a data model. With the term NoSQL, we cover all the non-relational databases which provide no scheme and scaling model. NoSQL Databases, also called internet databases, are nowadays used by such significant organizations as Google, Amazon, Facebook and many others. Different classes of databases NoSQL, specifically couples of key-value pairs, documentary, column-oriented databases and graph databases, allow programmers to model the data near the format used in their application. One of the disadvantages, resulting from a free structure, is the security of effective searching in the non-relational databases. Several studies dealt with the effective way of searching in the non-relat URL Link na zdrojový dokument Link na konferenciu Public work category AFC No. of Archival Copy 50241 Catal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Database xpca - PUBLIKAČNÁ ČINNOSŤ article
Title Implementing machine learning methods in searching processes Author info Roman Čerešňák, Karol Matiaško, Adam Dudáš Author Čerešňák Roman (70%)
Co-authors Matiaško Karol (10%)
Dudáš Adam 1992- (20%) UMBFP05 - Katedra informatiky
Source document The 29 conference of Open Innovations Association Fruct : proceedings of The 29 conference of Open Innovations Association Fruct, Tampere, Finland, 12-14 May 2021. S. 87-93. - Tampere Tampere : Fruct Oy, IEEE Finland : FRUCT Oy, 2021 ; Open Innovation Association FRUCT conference Keywords informatika - informatics akademické vzdelávanie vyhľadávacie možnosti vyhľadávacie systémy algoritmické riešenia problémov Form. Descr. príspevky v zborníku - proceedings papers Language English Country Finland URL Link na plný text Public work category AFC No. of Archival Copy 50092 Catal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Database xpca - PUBLIKAČNÁ ČINNOSŤ article
Title Various approaches proposed for eliminating duplicate data in a system Author info Roman Čerešňák, Karol Matiaško, Adam Dudáš Author Čerešňák Roman (40%)
Co-authors Matiaško Karol (30%)
Dudáš Adam 1992- (30%) UMBFP05 - Katedra informatiky
Source document Komunikácie : vedecké listy Žilinskej univerzity : Scientific Letters of the University of Žilina. Vol. 23, no. 4 (2021), pp. A223-A232. - Žilina : Žilinská univerzita, 2021 Keywords duplicitné dáta - duplicate data distribuované spracovanie dát - distributed data processing softvérová architektúra - software architecture Form. Descr. články - journal articles Language English Country Slovak Republic Annotation The growth of big data processing market led to an increase in the overload of computation data centers, change of methods used in storing the data, communication between the computing units and computational time needed to process or edit the data. Methods of distributed or parallel data processing brought new problems related to computations with data which need to be examined. Unlike the conventional cloud services, a tight connection between the data and the computations is one of the main characteristics of the big data services. The computational tasks can be done only if relevant data are available. Three factors, which influence the speed and efficiency of data processing are data duplicity, data integrity and data security. We are motivated to study the problems related to the growing time needed for data processing by optimizing these three factors in geographically distributed data centers. URL Link na zdrojový dokument Public work category ADN No. of Archival Copy 50224 Catal.org. BB301 - Univerzitná knižnica Univerzity Mateja Bela v Banskej Bystrici Database xpca - PUBLIKAČNÁ ČINNOSŤ References PERIODIKÁ-Súborný záznam periodika article