Data warehouse projects bring together different communities of practice, with the primary objective of producing one body of information which is capable of comparative advantages in business analysis. Due to the number of involved communities and the complexity of their collaboration, data warehouse projects are costly. In this paper we give a closer look at communication problems on boundari...

Defining data warehouse requirements is widely recognized as one of the most important steps in the larger data warehouse system development process. This paper examines the potential risks and pitfalls within the data warehouse requirement collection and definition process. A real scenario of a large-scale data warehouse implementation is given, and details of this project, which ultimately fa...

Data warehouse is a collection of huge database which is subject oriented, integrated, time-variant and non volatile. As it is a set of huge database, fast data access is the major performance parameter of any data warehouse. Generally the information retrieved from Data Warehouse is summarized or aggregated as it is required for some decision making process of organization. To retrieve such a ...

Data warehouse is considered as the core component of the modern decision support systems. Due to the major support of data warehouse in the daily transaction of an enterprise, the requirements for the design and the implementation of DW are dynamic and subjective. This dynamic nature of the data warehouse may reflect the evolution in the data warehouse. Data warehouse evolution may be focused ...

Since December 2019, we have detected the appearance of a new virus called COVID-19, which has spread, throughout world. Everyone today, given major importance to this virus. Although little knowledge disease, doctors and specialists make decisions every day that significant impact on public health. There are many various open data in context, scattered distributed. For this, need capitalize al...

A data warehouse (DW) is a database used for reporting Paper describes Object Oriented Data Warehousing using a narrower compassed data model. The data is offloaded from the operational systems for reporting. The data may pass through an operational data store for additional operations before it is used in the Data warehousing for reporting. An Object Oriented Data Warehouse system includes a d...

Mediators are a critical component of any data warehouse; they transform data from source formats to the warehouse representation while resolving semantic and syntactic conflicts. The close relationship between mediators and databases requires a mediator to be updated whenever an associated schema is modified. Failure to quickly perform these updates significantly reduces the reliability of the...