Multidimensi Pada Data Warehouse Dengan Menggunakan Rumus Kombinasi
H.L.H Spits Warnars
TL;DR
This paper emphasizes the importance of multidimensional data in data warehouses for effective business analysis and OLAP, highlighting its role in comprehensive information delivery.
Contribution
It introduces a method using combination formulas to implement multidimensional structures in data warehouses.
Findings
Enhances data analysis capabilities in data warehouses.
Supports flexible business measurement analysis.
Improves OLAP performance and usability.
Abstract
Multidimensional in data warehouse is a compulsion and become the most important for information delivery, without multidimensional data warehouse is incomplete. Multidimensional give the able to analyze business measurement in many different ways. Multidimensional is also synonymous with online analytical processing (OLAP).
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Taxonomy
TopicsData Mining Algorithms and Applications · Advanced Database Systems and Queries · Decision Support System Applications