In a data warehouse (DW) environment, when the operational environment does not posses or does not want to inform the data about the changes that occurred, controls have to be impl...
Rosana L. de B. A. Rocha, Leonardo Figueiredo Card...
View materialization is recognized to be one of the most effective ways to increase the Data Warehouse performance; nevertheless, due to the computational complexity of the techniq...
Data Warehouses provide sophisticated tools for analyzing complex data online, in particular by aggregating data along dimensions spanned by master data. Changes to these master da...
Extraction-Transformation-Loading (ETL) tools are pieces of software responsible for the extraction of data from several sources, their cleansing, customization and insertion into ...
Extraction-Transformation-Loading (ETL) tools are pieces of software responsible for the extraction of data from several sources, their cleansing, customization and insertion into ...
: A data warehouse is a database focused on decision making. It is built separately from the transactional (OLTP) databases of the enterprise, although it is partly fed from transa...
Data Warehouses are decisional information artifacts that are embedded in the organizations that create/maintain them. Therefore, Data Warehouse Requirements Engineering must start...
Data Warehouse logical design involves the definition of structures that enable an efficient access to information. The designer builds relational or multidimensional structures ta...
In data warehouses measures are analyzed along different dimensions. Although the structures of these dimensions change over time, data warehouse tools currently in use are not ab...
This paper proposes a novel way of automatically developing data warehouse configuration in rule-based CRM systems. Rule-based CRM systems assume that marketing activities are re...
Han-joon Kim, Taehee Lee, Sang-goo Lee, Jonghun Ch...