It is well known that transactional and analytical systems each require different database architecture. In general, the database structure of transactional systems is optimized f...
Data warehouses are increasingly supplied with data produced by a large number of distributed sensors in many applications: medicine, military, road traffic, weather forecast, util...
The bottleneck of a data warehouse implementation is the ETL (extraction, transformation, and load) process, which carries out the initial population of the data warehouse and its...
Data warehousing methodologies share a common set of tasks, including business requirements analysis, data design, architectural design, implementation and deployment. Clinical da...
One of the most important tasks performed in the early stages of a data warehouse project is the analysis of the structure and content of the existing data sources and their inten...