Advanced Data Warehouse Design: From Conventional to Spatial and Temporal Applications - Data-Centric Systems and Applications (Hardback)
  • Advanced Data Warehouse Design: From Conventional to Spatial and Temporal Applications - Data-Centric Systems and Applications (Hardback)

Advanced Data Warehouse Design: From Conventional to Spatial and Temporal Applications - Data-Centric Systems and Applications (Hardback)

(author), (author)
Hardback 435 Pages / Published: 12/11/2008
  • Publisher out of stock

Currently unavailable to order

This product is currently unavailable.

  • This item has been added to your basket

This exceptional work provides readers with an introduction to the state-of-the-art research on data warehouse design, with many references to more detailed sources. It offers a clear and a concise presentation of the major concepts and results in the subject area. Malinowski and Zimanyi explain conventional data warehouse design in detail, and additionally address two innovative domains recently introduced to extend the capabilities of data warehouse systems: namely, the management of spatial and temporal information.

Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN: 9783540744047
Number of pages: 435
Weight: 916 g
Dimensions: 235 x 155 x 27 mm
Edition: 1st ed. 2008. Corr. 2nd printing 2008


"The origins of data warehousing are rooted in solid practicality. Data warehousing began as a response to the pain and frustration of the analytical/management community in large corporations.

It is thus a sign of maturation that a theoretical work has arisen that explains the theory behind data warehousing. This is that work.

The book is a well thought out. While not a breezy read, the book is nevertheless accessible to the common practitioner. One feature of the book is that it includes ample material on both traditional data warehousing and spatial and temporal data warehouses. The work on spatial and temporal data warehouses is an extension of current data warehouse thought and is welcome. In fact, it can be said that the heart of the book is the contributions on spatial and temporal data warehouses.

But there are many other features that are positive contributions as well. Equally covered are the relational model and the object relational model. The book fairly recognizes both the strengths and the weaknesses of the different model types and the book is quite fair in the criticism. (This is important because - for whatever reason - often times when models are discussed, the discussion often turns into a religious food fight, where each side professes that its model is the only true and righteous way. This book does not condescend to this low level of discussion, and that is one of the strengths of the book.)

I saw only one small passage that I took exception to in the book. The book states that data marts can be created directly from source systems. While this is true - such creations can be made - when they are made, the resulting structure is not a data warehouse. But this is a small point and does not detract from the other very positive contributions made by the book.

As one reads the chapters on the different types of structures that can be found in conventional, spatial and temporal data warehouses, there is a faint echo of the seminal works of Donald Knuth, who, decades earlier wrote the leading book on data structures. It is interesting to see how far data structures have evolved from the early days of Knuth to the sophisticated data warehouses of today.

One of the really nice features of this book is that it is readable. So many theoretical books get wrapped up in theory and conventions to the point that they are essentially unintelligible to the mere mortal. This book does a very nice job of merging theory with readability. One big thank you to the authors for this aspect of the book.

This book is a very welcome contribution to the body of knowledge surrounding data warehousing and analytics, and belongs on the bookshelf of every serious student and practitioner."

William H. "Bill" Inmon, Inmon Data Systems, Castle Rock, CO, USA - to be published in the Bill Inmon Newsletter by

You may also be interested in...

Doing Data Science
Added to basket
Data Analysis Using SQL and Excel
Added to basket
Hadoop - The Definitive Guide 4e
Added to basket
PHP and MySQL Web Development
Added to basket
Visualization Analysis and Design
Added to basket
The Data Warehouse Toolkit
Added to basket
SQL Antipatterns
Added to basket
Coding For Kids For Dummies
Added to basket
Step by Step Databases
Added to basket
Agile Data Warehouse Design
Added to basket
Data Science for Business
Added to basket
Business Database Systems
Added to basket
Data Wrangling with Python
Added to basket
Introduction to Information Systems
Added to basket


Please sign in to write a review

Your review has been submitted successfully.