Includes bibliographical references and index.

The authors deliver coverage of data warehousing and business intelligence technologies ranging from the most basic principles to recent findings and applications. Their work is structured into three parts: Fundamental Concepts: including multi-dimensional models, conceptual and logical data warehouse design, and MDX and SQL/OLAP; Implementation and Deployment: includeing physical data warehouse design, data extraction, transformation, and loading (ETL), and data analytics; Advanced Topics: including spatial data warehouses, trajectory data warehouses, semantic technologies in data warehouses, and novel technologies like MapReduce, column-store databases, and in-memory databases. Concepts are illustrated by an on going example based on the North wind database using Microsoft Analysis Services and Pentaho Business Analytics.