With this textbook, Vaisman and Zimanyi 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.
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