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CONCEPTUAL MODEL OF NOSQL DATA WAREHOUSE ON THE BASE OF USER SKILLS STORING MODEL

Sergei Kucherov

First published: 2019-06-20https://doi.org/10.5593/sgem2019/2.1/s07.024View metrics

Abstract

The existing approach to data modeling allows to put in an information system only a structure for their factographic mapping. Meanwhile, in reality, data exists within the context which is some user's skill for obtaining them. In the previous study, a model for representing the user's skill was developed. This model represents data in a form of possible action, which, depending on the situation, allows obtaining the expected data. The developed model has such advantages as providing flexibility in accordance with the changing operating conditions for the information system and modeling data inextricably from the context in which these data appear in a subject domain. The user experience storing model requires fundamentally new approaches to structuring the warehouse which should maintain to hierarchical nesting (scaling in depth) and the development of hierarchy levels (scaling in width), as well as the parallel existence of multiple instances of hierarchies - a hierarchy of possible actions and hierarchies of concrete actions. The hierarchy of possible actions is an evolving model of the information system. An instance of the hierarchy of specific actions - snapshots of the state of the system at certain points in time. The existing approaches to the structuring of data warehouses do not allow to use of such model fully. The paper presents a data warehouse model using the schema-free NoSQL database capabilities, which allows storing a description of the domain in terms of user skills

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Publication details

Title
CONCEPTUAL MODEL OF NOSQL DATA WAREHOUSE ON THE BASE OF USER SKILLS STORING MODEL
Authors
Sergei Kucherov
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 19th International Multidisciplinary Scientific GeoConference SGEM2019, Informatics, Geoinformatics and Remote Sensing
Publisher
STEF92 Technology
Year
2019
Pages
181-188
SWS Citekey
Kucherov20197181188
ISSN
1314-2704
ISBN
978-619-7408-79-9
Language
en
Publication type
Conference Paper
Keywords
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