Conceptual model of operational-analytical data marts for big data processing
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Author:
Раевич, А.
Добронец, Б. С.
Попова, О. А.
Раевич, К.
Corporate Contributor:
Институт космических и информационных технологий
Кафедра систем искусственного интеллекта
Date:
2020Journal Name:
E3S Web of ConferencesJournal Quartile in Scopus:
без квартиляJournal Quartile in Web of Science:
без квартиляBibliographic Citation:
Раевич, А. Conceptual model of operational-analytical data marts for big data processing [Текст] / А. Раевич, Б. С. Добронец, О. А. Попова, К. Раевич // E3S Web of Conferences. — 2020. — Т. 149.Abstract:
Operational data marts that basically constitute slices of thematic narrowly-focused information are designed to provide operational access to big data sources due to consolidation and ranking of information resources based on their relevance. Unlike operational data marts dependent on the sources, analytical data marts are considered as independent data sources created by users to provide structuring of data for the tasks being solved. Therefore, the conceptual model of operational-analytical data marts allows combining the concepts of operational and analytical data marts to generate an analytical cluster that shall act as the basis for quick designing, development and implementation of data models.