Data Model Performance in Data Warehousing

Data Warehouses have increasingly become important in organizations that have large amount of data. It is not a product but a part of a solution for the decision support system in those organizations. Data model is the starting point for designing and developing of data warehouses architectures. Thu...

Full description

Saved in:
Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2018-02, Vol.306 (1), p.12044
Main Authors: Rorimpandey, G C, Sangkop, F I, Rantung, V P, Zwart, J P, Liando, O E S, Mewengkang, A
Format: Article
Language:English
Subjects:
Data analysis
Data collection
Data models
Data warehouses
Decision support systems
Organizations
Statistical analysis
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Data Warehouses have increasingly become important in organizations that have large amount of data. It is not a product but a part of a solution for the decision support system in those organizations. Data model is the starting point for designing and developing of data warehouses architectures. Thus, the data model needs stable interfaces and consistent for a longer period of time. The aim of this research is to know which data model in data warehousing has the best performance. The research method is descriptive analysis, which has 3 main tasks, such as data collection and organization, analysis of data and interpretation of data. The result of this research is discussed in a statistic analysis method, represents that there is no statistical difference among data models used in data warehousing. The organization can utilize four data model proposed when designing and developing data warehouse.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/306/1/012044