Building the Data Warehouse

The new edition of the classic bestseller that launched the data warehousing industry covers new approaches and technologies, many of which have been pioneered by Inmon himself In addition to explaining the fundamentals of data warehouse systems, the book covers new topics such as methods for handling unstructured data in a data warehouse and storing data across multiple storage media Discusses the pros and cons of relational versus multidimensional design and how to measure return on investment in planning data warehouse projects Covers advanced topics, including data monitoring and testing Although the book includes an extra 100 pages worth of valuable content, the price has actually been reduced from $65 to $55

* The new edition of the classic bestseller that launched thedata warehousing industry covers new approaches and technologiesmany of which have been pioneered by Inmon himself* In addition to explaining the fundamentals of data warehousesystems, the book covers new topics such as methods for handlingunstructured data in a data warehouse and storing data acrossmultiple storage media* Discusses the pros and cons of relational versusmultidimensional design and how to measure return on investment inplanning data warehouse projects* Covers advanced topics, including data monitoring andtesting* Although the book includes an extra 100 pages worth of valuablecontent, the price has actually been reduced from $65 to $55

Preface.Acknowledgments.Chapter 1: Evolution of Decision Support Systems.Chapter 2: The Data Warehouse Environment.Chapter 3: The Data Warehouse and Design.Chapter 4: Granularity in the Data Warehouse.Chapter 5: The Data Warehouse and Technology.Chapter 6: The Distributed Data Warehouse.Chapter 7: Executive Information Systems and the DataWarehouse.Chapter 8: External Data and the Data Warehouse.Chapter 9: Migration to the Architected Environment.Chapter 10: The Data Warehouse and the Web.Chapter 11: Unstructured Data and the Data Warehouse.Chapter 12: The Really Large Data Warehouse.Chapter 13: The Relational and the Multidimensional Models as aBasis for Database Design.Chapter 14: Data Warehouse Advanced Topics.Chapter 15: Cost-Justification and Return on Investment for aData Warehouse.Chapter 16: The Data Warehouse and the ODS.Chapter 17: Corporate Information Compliance and DataWarehousing.Chapter 18: The End-User Community.Chapter 19: Data Warehouse Design Review Checklist.Glossary.References.Index.