Advanced Applications of Data Warehousing Using 3-tier Architecture

  • Praveen Sharma
Keywords: OLAP, OLTP, data warehouse, dashboard, data mart

Abstract

Organisations be it industry or business or even educational institutes, need to improve their information inventory system so as to survive in the competitive environment. The organisations have to increase their efficiency and effectiveness in maintaining the cycle of activities, in their planning, decision-making processes, and analytical needs. There are several ways to acquire this goal; one of it is with data mining which is able to make a prediction using existing data in their database in order to forecast future demand. In addition, with data mining they would be able to determine which activity is more important and what trend is prevailing. An information system, which is based on both World Wide Web technology and a 3-tiered architecture, is proposed herein to meet the above requirements. This paper is an attempt to provide the initial concept about data mining model that most likely will be used in various department including libraries of the teaching institutes. The initial concepts covered by the paper are the appropriate data warehouse schema; data mining tasks and techniques that are best suited, and applications.

http://dx.doi.org/10.14429/djlit.29.242

How to Cite
Sharma, P. (1). Advanced Applications of Data Warehousing Using 3-tier Architecture. DESIDOC Journal of Library & Information Technology, 29(2), 61-66. https://doi.org/10.14429/djlit.29.2.242