Some Issues in Design of Data Warehousing Systems

Some Issues in Design of Data Warehousing Systems

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by Ladjel Bellatreche , Kamalakar Karlapalem , Mukesh Mohania

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Datum	Value	Source
TITLE	Some Issues in Design of Data Warehousing Systems	user correction - Legacy Corrections
AUTHOR NAME	Ladjel Bellatreche	SVM HeaderParse 0.1
AUTHOR AFFIL	Department of Computer Science; University of Science & Technology	SVM HeaderParse 0.2
AUTHOR NAME	Kamalakar Karlapalem	SVM HeaderParse 0.1
AUTHOR AFFIL	Department of Computer Science; University of Science & Technology	SVM HeaderParse 0.2
AUTHOR NAME	Mukesh Mohania	SVM HeaderParse 0.1
AUTHOR AFFIL	Department of Computer Science; Western Michigan University	SVM HeaderParse 0.2
AUTHOR ADDR	Kalamazoo, MI 49008-5021; U.S.A.	SVM HeaderParse 0.1
ABSTRACT	Introduction Information is one of the most valuable assets of an organization and when used properly can assist intelligent decision making that can significantly improve the functioning of an organization. Data warehousing is a recent technology that allows information to be easily and efficiently accessed for decision making activities. On-Line Analytical Processing (OLAP) tools are wellstudied for complex data analysis. A data warehouse is a set of subject-oriented, integrated, time varying, and non-volatile databases used to support the decision-making activities [42]. The conceptual architecture of a data warehousing system is shown in Figure 1. The data Information Sources - Relational -Legacy Warehouse Meta Data - Select -Transform -Clean -Integrate -Refresh -Others -Network Data OLAP Server MOLAP ROLAP/ Clients Front-end Tools -Analysis -Data Mining -Report generator - Others and Management Component Warehouse Creation	user correction - Legacy Corrections
CITATIONS	74 found	ParsCit 1.0