Data warehouses have captured the attention of practitioners and researchers alike. But the
design and optimization of data warehouses remains an art rather than a science. This book …

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 …

A data warehouse is an integrated and time-varying collection of data derived from
operational data and primarily used in strategic decision making by means of OLAP …

This paper provides an overview of Data warehousing, Data Mining, OLAP, OLTP
technologies, exploring the features, applications and the architecture of Data Warehousing …

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 …

The aim of this research is to identify and classify the main issues and challenges facing
different business organizations when implementing Data Warehouse (DW) technologies …

In a context of Data Integration Systems (DIS) providing access to large amounts of data
extracted and integrated from autonomous data sources, users are highly concerned about …

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

Previous research has provided metadata models that enable the capturing of the static
components of a data warehouse architecture, along with information on different quality …

Ensuring and maximizing the quality and integrity of information is a crucial process for
today enterprise information systems (EIS). It requires a clear understanding of the …