In a data warehousing process, the data preparation phase is crucial. Mastering this phase allows substantial gains in terms of time and performance when performing a multidimensio...
In classical data warehouses (DWH), classification of values takes place in a sharp manner, because of this true values cannot be measured and smooth transition between classes do...
Data Warehouse (DWH) systems represent a single source of information for analyzing the status, the development and the results of an organization. Today's DWH systems provide...
Multidimensional models are at the core of data warehouse systems, since they allow decision makers to early define the relevant information and queries that are required to satis...
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...