Selected problems of designing modern industrial databases

Abstract

Abstract. The paper presents problems of designing databases for various branches of industry. The development of information technologies and in particular of object-oriented programming has caused a change from data modelling to the modelling of applications. The increase of unstructured Big Data in Industry 4.0 era and requirements of sharing data model between many applications needs a reversion to data analysis and design and it is presented in the article.

Phase Change Heat Exchangers Made of Pin-Fins for Boiling Enhancement

“…Material aspects of this research may be also interesting for materials science researchers focused on modification of materials properties (Lipinski, 2015), its surface layer (Kmita and Bara, 2012;Bara et al, 2016) and related analytical methods (Gadek-Moszczak and Wojnar, 2009;Gadek-Moszczak et al, 2014). Finally, in order to strengthen the research function of the university (Kozien and Kozien, 2017), the mentioned results should be widely disseminated, among others in form of scientific and industrial databases (Gawlik et al, 2015;Karpisz and Kielbus, 2018).…”

Selected Problems of Industry Databases and Information Infrastructure Security

“…In both cases, JSON (JavaScript Object Notation) was selected as the data storage format. In addition, the relational server saved data in relational tables in XML and standard data formats in specially designed databases (Karpisz, 2016;Karpisz, 2018). It should be noted that despite a significant difference in hardware performance, the buffer server in the OT provided twice as fast data access in direct user connect to DBMS.…”

Numerical Simulation of Fluid Flow inside the Flow Control Valve

“…It may be also used in an uncertainty quantification (Pietraszek et al, 2016;Kozien and Kozien, 2017) and related risk management (Kielbus and Karpisz, 2019) as a tool for construction of a surrogate model (Ferdek and Kozien, 2013). Finally, the results should be widely disseminated in academia and industry by scientific and industrial databases (Gawlik et al, 2015;Karpisz and Kielbus, 2018).…”