Data Modelling Book

I just read a post on a CORTEX blog about a book that sounds interesting for data miners. Many thanks to Arthur for the post. Here are the details:

The Multidimensional Data Modeling Toolkit
By John Paredes, OLAP World Press (March 1, 2009), 330 pages, US$47 from Amazon, ISBN: 978-0981775302

Table of Contents

Part I: Preparing for the Journey

• Oveview
• What is OLAP?
• What is the Oracle OLAP DML?
• Pit Stop: Working with Analytic Workspaces

Part II: Mastering Dimensions

• Creating Dimensions
• Describing Dimension Members with Labels
• Categorizing Dimension Members with Attributes
• Organizing Dimension Members into Hierarchies
• Unnatural, Ragged, and Other Hierarchy Variations

Part III: Designing Multidimensional Data

• Storing Multidimensional Data in the Analytic Workspace
• Calculating Data On-the-Fly
• Filtering, Relationships, and Combinations
• Working with Sets
• Aggregations

Part IV: Graphical User Interfaces for OLAP

• Exploring Metadata
• The Star Schema and Beyond
• Selectors

Part V: OLAP DML Programming

• Writing DML Programs
• Programs for Getting Data In and Out of an Analytic Workspace
• Tune Up: Working with Analytic Workspaces

Part VI: Analytical Alchemy

• Design Principles for Creating Multidimensional Information
• Migration Analysis: Showing Changes in Customer Choices
• The Relationship between OLAP, Statistics, and Data Mining

Available on Amazon or directly from the author as an ebook. The book has been written from an Oracle 10g perspective but from what I can gather online most of the content is relevant for any RDBMS.