Since the late 1970s, relational database technology has been adopted by most
organizations to store their essential data. However, nowadays, the needs of these …

Data, information and knowledge have important role in various human activities because
by processing data, information is extracted and by analyzing data and information the …

Data warehouses (DWs) are complex computer systems whose main goal is to facilitate the
decision making process of knowledge workers. ETL (Extraction-Transformation-Loading) …

A data warehouse stores large volumes of historical data required for analytical purposes.
This data is extracted from operational databases; transformed into a coherent whole using …

The multidimensional (MD) modeling, which is the foundation of data warehouses (DWs),
MD databases, and On-Line Analytical Processing (OLAP) applications, is based on several …

Due to the principal role of Data warehouses (DW) in making strategy decisions, data
warehouse quality is crucial for organizations. Therefore, we should use methods, models …

Most of the data warehouse projects still fail because the final data warehouse does not
properly meet business goals. Designers start a data warehouse project with the conceptual …

Due to the sensitive data contained in Data Warehouses (DW), it is essential to specify
security measures from the early stages of the DW design and enforce them. Traditional …

Data Warehouses (DWs), Multidimensional (MD) Databases, and On-Line Analytical
Processing Applications are used as a very powerful mechanism for discovering crucial …

Multidimensional (MD) modeling is the foundation of data warehouses, MD databases, and
On-Line Analytical Processing (OLAP) applications. In the past few years, there have been …