MULTIDIMENSIONAL APPROACH TO DATA STORED DEPOSITS

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Published: 2015-01-23

Page: 12-20


GEORGETA SOAVĂ *

Department of Statistics and Economic Informatics, Faculty of Economics and Business Administration, University of Craiova, Romania [GS]

*Author to whom correspondence should be addressed.


Abstract

Synthesis of dates involves their centralizing data based on different criteria are used for drawing the necessary synthesis to inform managers as decision support. Because it appears that the synthesis process of exploring data whose volume is huge classical methods have become ineffective, are used more frequently offered by modern information technology solutions OLAP (On-Line Analytical Processing) are as soft media support transactional database systems. OLAP is a category of software technology that enables analysts, managers and those of execution of economic organization to receive a fast, consistent and interactive data warehouse. By centralizing technology, it transforms data into information synthesis and ensures their analysis. Thus, I proposed in this paper is developing this technology, to its present characteristics, modeling approach to multidimensional databases multidimensional OLAP operations on the hypercube and ended with a set of conclusions which reveal that applications built OLAP technology can find its place in the activity of any type of economic organization, as has the advantage of lower response time.

Keywords: Databases, data warehouses, dimensions, multidimensional analysis


How to Cite

SOAVĂ, G. (2015). MULTIDIMENSIONAL APPROACH TO DATA STORED DEPOSITS. Journal of Global Economics, Management and Business Research, 1(1), 12–20. Retrieved from https://ikprress.org/index.php/JGEMBR/article/view/1341

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