Publication at Faculty of Mathematics and Physics |
2018
Abstract
The analysis of relational and NoSQL databases leads to the conclusion that these data processing systems are to some extent complementary. In current Big Data applications, especially where extensive analyses are needed, it turns out that it is non-trivial to design an infrastructure involving data and software of both types.
In terms of performance, it may be beneficial to use a polyglot persistence or mul-ti-model approach or even to transform the SQL database schema into NoSQL and to perform data migration between the relational and NoSQL database. The aim of the paper is to show these possibilities and some new methods of design-ing such integrated database architectures.