Building the Data Warehouse

The most comprehensive introduction to the core concepts and methods of data warehousing
Data warehouses provide a much–needed strategy for organizations to collect, store, and analyze vast amounts of business data. As businesses expand both brick–and–mortar and online activities, the field of data warehousing has become increasingly important. Since it was first published in 1990, W. H. Inmon′s Building the Data Warehouse has been the bible of data warehousing— it is the book that launched the data warehousing industry and it remains the preeminent introduction to the subject. This new edition covers the latest developments with this technology, many of which have been pioneered by Inmon himself.
An overview of all the fundamental components of data warehouse systems offers you a refresher of the methods used for data warehouse design; various data warehouse migration strategies; and the technologies that can be applied for loading, indexing, and managing data. In order to bring you up to date, this in–depth guide then features the latest advances in data warehousing.
New chapters cover: Understanding methods for handling unstructured data in a data warehouseStoring data across multiple storage mediaExamining the pros and cons of relational vs. multidimensional designMeasuring return on investment in planning data warehouse projectsExploring advanced topics, including data monitoring and testing

Spis treści:
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.
Chapte r 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.

Nota biograficzna:
Bill Inmon, the father of the data warehouse concept, has written 40 books on data management, data warehouse, design review, and management of data processing. Bill has had his books translated into Russian, German, French, Japanese, Portuguese, Chinese, Korean, and Dutch. Bill has published more than 250 articles in many trade journals. Bill founded and took public Prism Solutions. His latest company — Pine Cone Systems — builds software for the management of the data warehouse/data mart environment. Bill holds two software patents. Articles, white papers, presentations, and much more material can be found on his Web site, www.billinmon.com.

Okładka tylna:
The most comprehensive introduction to the core concepts and methods of data warehousing
Data warehouses provide a much–needed strategy for organizations to collect, store, and analyze vast amounts of business data. As businesses expand both brick–and–mortar and online activities, the field of data warehousing has become increasingly important. Since it was first published in 1990, W. H. Inmon′s Building the Data Warehouse has been the bible of data warehousing— it is the book that launched the data warehousing industry and it remains the preeminent introduction to the subject. This new edition covers the latest developments with this technology, many of which have been pioneered by Inmon himself.
An overview of all the fundamental components of data warehouse systems offers you a refresher of the methods used for data warehouse design; various data warehouse migration strategies; and the technologies that can be applied for loading, indexing, and managing data. In order to bring you up to date, this in–depth guide then features the latest advances in data warehousing.
New chapters cover: Understanding methods for handling unstructured data in a data warehouseStoring data across multiple storage mediaExamining the pros and cons of relational vs. multidimensional designMeasuring return on investment in planning data warehouse projectsExploring advanced topics, including data monitoring and testing