The choice of data relations storing in informational systems
About authors
- 1 — Ph.D. associate professor National Mineral Resources University (Mining University)
- 2 — Ph.D. associate professor National Mineral Resources University (Mining University)
- 3 — senior lecturer National Mineral Resources University (Mining University)
Abstract
Storing and processing data of mineral resources usually imply large amounts of data. So increasing data search operation speed is the subject of a notable interest. User of any relational data base, as a rule, imagines it as a set of normalized relations (tables). These tables, at the physical level, can be represented in the different ways. The paper is dedicated to the analysis and comparison of cortege (traditional) and domain (transposed) ways of storing data relations.
References
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