Data warehousing methodologies share a common set of tasks, including business requirements analysis, data design, architectural design, implementation and deployment. Clinical da...
: Over the years, DataWarehousing has gone through a number of evolutions from a relatively simple reporting database to sophisticated analytical applications such as analyzing cus...
We classify data quality problems that are addressed by data cleaning and provide an overview of the main solution approaches. Data cleaning is especially required when integratin...
As a decision support information system, a data warehouse must provide high level quality of data and quality of service. In the DWQ project we have proposed an architectural fram...
Panos Vassiliadis, Mokrane Bouzeghoub, Christoph Q...
For extended enterprises, value-chain integration means that enterprise business systems can no longer be confined to internal processes, applications, and data repositories. What...