Running analytical queries directly against the huge raw data volume of a data warehouse results in unacceptable query performance. The solution to this problem is storing materialized views in the warehouse, which pre-aggregate the data and thus avoid raw data access and speed up queries. In this paper, at first the problems concerning the selection of the right pre-aggregations and their util...

We present a technique for automatic expiration of data in a historical data warehouse that preserves answers to a known and fixed set of first-order queries. In addition, we show that for queries with output size bounded by a function of the active data domain size (the number of values that have ever appeared in the warehouse), the size of the portion of the data warehouse history needed to a...

The data warehouse is considered to be the best way to organize transactional data. However, as many researches claim data warehouse should be augmented with external textual information. The objective of this chapter is to examine the requirements for profiling in the data warehouse environment. Profiles created in the data warehouse are then utilized to filter information. The goal of the ske...

E-Business have a variety of on-line transaction processing (OLTP) systems and operational database. Data Warehouse is different from operational database. A data warehouse is a subject-oriented, integrated, time-variant, and non-volatile collection of data in support of management's decision-making process. The features of Data Warehouse cause the its design process and strategies to be differ...

Data warehouse design is clearly dominated by the business perspective. Quite often, data warehouse administrators are lead to data models with little room for performance improvement. However, the increasing demands for interactive response time from the users make query performance one of the central problems of data warehousing today. In this paper we defend that data warehouse design must t...

Data warehouse technology transforms the operational data store to general and compositive information. It also provides effective way for analysis and statistic to the mass data, and helps to do the decision-making. The paper introduces the data warehouse and the online analysis process. According to the power management information system, the paper analyzes the power-oriented multidimensiona...

Practitioners and researchers in the domain of data warehousing are primarily focussing on technical aspects of data warehouse systems. Organizational issues are often neglected although several studies about critical success factors of data warehouse projects emphasize their importance. Thus, the aim of this paper is to provide deeper insights in organizational issues of data warehousing. The ...

Active data warehousing is rapidly changing the landscape for deployment of decision support solutions. The trend toward actionable business intelligence demands that capabilities for tactical and event-driven decision-making be supported in addition to traditional uses of the data warehouse for strategic decision-making. The resulting challenges to deliver extreme service levels in the areas o...

Aiming at the problems in the management and sharing research of antique information, this paper discussed the necessity to build antique information distributed data warehouse. The data warehouse architecture and the multidimensional data model were put forward, by usingonline analysis processing (OLAP) the multidimensional analysis of antique distributed data warehouse was presented, and a mu...

Based on an actual dataset of college human resources, we analyzed the data warehouse technologies and combined them with the pracical work. The snowflake structure has been described about a data warehouse of university human resource and the data warehouse has been constructed. This paper reduces and categorizes features by explorative data analysis. When the data warehouse had built and appl...