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

Auteur

William H. Inmon is the acknowledged "Father of Data Warehousing" and a partner in www.billinmon.com, a Web site featuring information on data warehousing and related technologies. He has written more than 40 books on database and data warehousing technologies, and is a frequent speaker (and often the keynote) at major conferences.

Résumé

• 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

Contenu
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 Data Warehouse.

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 a Basis for Database Design.

Chapter 14: Data Warehouse Advanced Topics.

Chapter 15: Cost-Justification and Return on Investment for a Data Warehouse.

Chapter 16: The Data Warehouse and the ODS.

Chapter 17: Corporate Information Compliance and Data Warehousing.

Chapter 18: The End-User Community.

Chapter 19: Data Warehouse Design Review Checklist.

Glossary.

References.

Index.