Foreword by Mark Stephen LaRow, Vice President of Products, MicroStrategy" A unique and
authoritative book that blends recent research developments with industry-level practices for …

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 …

The spectacular growth of the Internet and its widespread adoption by worldwide
corporations lead to an enormous quantity of heterogeneous, distributed and autonomous …

It is widely accepted that the conceptual schema of a data warehouse must be structured
according to the multidimensional model. Moreover, it has been suggested that the ideal …

At the early stages of a data warehouse design project, the main objective is to collect the
business requirements and needs, and translate them into an appropriate conceptual …

Obtaining an implementation of a data warehouse is a complex task that forces designers to
acquire wide knowledge of the domain, thus requiring a high level of expertise and …

Designing data warehouse (DW) systems in highly dynamic enterprise environments is not
an easy task. At each moment, the multidimensional (MD) schema needs to satisfy the set of …

Developing a multidimensional (MD) model of a data warehouse (DW) is a highly complex,
prone to fail, and time consuming task, due to the fact that (i) the information needs of …

Decision making is the lifeblood of the enterprise—from the mundane to the strategically
critical. However, the increasing deluge of data makes it more important than ever to …

Nowadays, it is widely accepted that the data warehouse design task should be largely
automated. Furthermore, the data warehouse conceptual schema must be structured …