Comparative Analysis of Issues Related to Centralized and Distributed Warehouse Architectures
Data mining normally collects the data from large databases at central warehouse and applies mining techniques on collected data and discovers patterns and generates useful information which is used for further decision making process. Data mining has a lot of importance because of its vast applicability. It is being used progressively more in business applications for understanding and predicting valuable data, like consumer buying actions and buying tendency, profiles of customers, industry analysis and financial services. Distributed data mining is concerned with discovering patterns and trends from large distributed databases. This paper presents an overview of general architecture of centralized warehouse and distributed data warehouse.