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Mapping rules for schema transformation
- Čerešňák, Roman Mapping rules for schema transformation : SQl to NoSQL and back / Roman Čerešňák, Adam Dudáš ... [et al.]. -- v obsahu dokumentu je iné poradie autorov - 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
In Information and Digital Technologies 2021 : proceedings of the international conference, Žilina, 22.06.2021-24.06.2021. -- Danvers : Institute of Electrical and Electronics Engineers IEEE, 2021. -- 370 p.. -- ISBN ISBN 978-1-6654-3692-2. -- Pp. 58-64
1. schémy 2. transformácie 3. mapovacie pravidlá 4. príspevky v zborníku
I. Dudáš, Adam, 1992-
II. Matiaško, Karol
III. Kvet, Michal
IV. Information and Digital Technologies 2021 : proceedings of the international conference, Žilina, 22.06.2021-24.06.2021. -- Pp. 58-64
BB301
Number of the records: 1