With this textbook Vaisman and Zimányi deliver excellent coverage of data warehousing and
business intelligence technologies ranging from the most basic principles to recent findings
and applications. To this end their work is structured into three parts. Part I describes
Fundamental Concepts including conceptual and logical data warehouse design as well as
querying using MDX DAX and SQL OLAP. This part also covers data analytics using Power BI and
Analysis Services. Part II details Implementation and Deployment including physical design
ETL and data warehouse design methodologies. Part III covers Advanced Topics and it is almost
completely new in this second edition. This part includes chapters with an in-depth coverage of
temporal spatial and mobility data warehousing. Graph data warehouses are also covered in
detail using Neo4j. The last chapter extensively studies big data management and the usage of
Hadoop Spark distributed in-memory columnar NoSQL and NewSQL database systems and data
lakes in the context of analytical data processing. As a key characteristic of the book most
of the topics are presented and illustrated using application tools. Specifically a case study
based on the well-known Northwind database illustrates how the concepts presented in the book
can be implemented using Microsoft Analysis Services and Power BI. All chapters have been
revised and updated to the latest versions of the software tools used. KPIs and Dashboards are
now also developed using DAX and Power BI and the chapter on ETL has been expanded with the
implementation of ETL processes in PostgreSQL. Review questions and exercises complement each
chapter to support comprehensive student learning. Supplemental material to assist instructors
using this book as a course text is available online and includes electronic versions of the
figures solutions to all exercises and a set of slides accompanying each chapter. Overall
students practitioners and researchers alike will find this book the most comprehensive
reference work on data warehouses with key topics described in a clear and educational style.
I can only invite you to dive into the contents of the book feeling certain that once you have
completed its reading (or maybe targeted parts of it) you will join me in expressing our
gratitude to Alejandro and Esteban for providing such a comprehensive textbook for the field
of data warehousing in the first place and for keeping it up to date with the recent
developments in this current second edition. From the foreword by Panos Vassiliadis
University of Ioannina Greece.
