Data is the lifeblood of any organization. In today's world, organizations recognize the vital
role of data in modern business intelligence systems for making meaningful decisions and …

Data Warehouses are the core of the modern systems for decision making. They store
integrated information extracted from various and heterogeneous data sources, making it …

Manufacturing companies in high-wage countries are increasingly set under pressure in
international competition due the lower production costs in low-wage countries. In order to …

This paper describes the convergence of some of the most influential technologies in the last
few years, namely data warehousing (DW), on-line analytical processing (OLAP), and the …

The development of a data warehouse has been traditionally guided by an in-depth analysis
of the underlying operational data sources, thus overlooking an explicit development phase …

Data warehouses are information repositories specialized in supporting decision making.
Since the decisional process typically requires an analysis of historical trends, time and its …

The data warehouse design task needs to consider both the end-user requirements and the
organization data sources. For this reason, the data warehouse design has been …

DEFINITION Extraction, Transformation, and Loading (ETL) processes are responsible for
the operations taking place in the back stage of a data warehouse architecture. In a high …

The development of a data warehouse (DW) system is based on a conceptual
multidimensional model, which provides a high level of abstraction in accurately and …

Data warehousing (DW) is a widespread and essential practice in business organizations
that support the data analytic and decision-making process. Despite the importance of DW in …