Data warehouse is one of the most rapidly growing areas in management information systems. With this approach, data for EIS and DSS applications is separated from operational data and stored in a separate database called a data warehouse. Some of the advantages of this approach are improved performance, better data quality, and the ability to consolidate and summarize data from heterogeneous le...

Data warehouse systems integrate data from heterogeneous sources. These sources are autonomous in nature and change independently of a data warehouse. Owing to changes in data sources, the content and the schema of a data warehouse may need to be changed for accurate decision making. Slowly changing dimensions and temporal data warehouses are the available solutions to manage changes in the con...

Solving data quality problems is important for data warehouse construction and operation. This paper is based on developing a web log warehouse. It proposes a data quality problem methodology for data preprocessing within the log warehouse. It provides a hierarchical data warehouse architecture that is suitable for resource saving and ad hoc requirements. The data preprocessing is completed usi...