OLAP Solutions
Building Multidimensional Information Systems
2nd Edition
Published on 26. April 2002
Book
Paperback/Softback
XXVI, 662 pages
978-0-471-40030-1 (ISBN)
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Description
OLAP enables users to access information from multidimensional data warehouses almost instantly, to view information in any way they like, and to cleanly specify and carry out sophisticated calculations. Although many commercial OLAP tools and products are now available, OLAP is still a difficult and complex technology to master.
* Substantially updated with expanded coverage of implementation methods for data storage, access, and calculation; also, new chapters added to combine OLAP with data warehouse, mining, and decision support tools
* Teaches the best practices for building OLAP models that improve business and organizational decision-making, completely independent of commercial tools, using revised case studies
* Companion Web site provides updates on OLAP standards and tools, code examples, and links to valuable resources
Einen unmittelbaren Zugriff auf Informationen aus vieldimensionalen Data Warehouses sichert OLAP. Ob Speicherung, Zugriff oder Berechnungen: Dieses Buch erläutert Ihnen alle wichtigen Aspekte der Arbeit mit OLAP. Die zweite Auflage wurde durchgehend aktualisiert und um neue Arbeitsanleitungen zur Implementation von OLAP ergänzt. Vom zugehörigen Webserver können Sie Erweiterungen des Standards, Werkzeuge und Codebeispiele abrufen.
* Substantially updated with expanded coverage of implementation methods for data storage, access, and calculation; also, new chapters added to combine OLAP with data warehouse, mining, and decision support tools
* Teaches the best practices for building OLAP models that improve business and organizational decision-making, completely independent of commercial tools, using revised case studies
* Companion Web site provides updates on OLAP standards and tools, code examples, and links to valuable resources
Einen unmittelbaren Zugriff auf Informationen aus vieldimensionalen Data Warehouses sichert OLAP. Ob Speicherung, Zugriff oder Berechnungen: Dieses Buch erläutert Ihnen alle wichtigen Aspekte der Arbeit mit OLAP. Die zweite Auflage wurde durchgehend aktualisiert und um neue Arbeitsanleitungen zur Implementation von OLAP ergänzt. Vom zugehörigen Webserver können Sie Erweiterungen des Standards, Werkzeuge und Codebeispiele abrufen.
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WebSite Associated w/Book
Edition
2. Auflage
Language
English
Place of publication
New York
United States
Target group
College/higher education
Professional and scholarly
Edition type
New edition
Illustrations
Drawings: 274 B&W, 0 Color; Tables: 64 B&W, 0 Color
Dimensions
Height: 23.4 cm
Width: 19.4 cm
Thickness: 3.7 cm
Weight
1182 gr
ISBN-13
978-0-471-40030-1 (9780471400301)
Schweitzer Classification
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Additional editions
E-Book
10/2002
2nd Edition
Wiley
€65.99
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Previous edition
Book
03/1997
Wiley
€75.00
Article exhausted; check for reprint
Person
ERIK THOMSEN (ethomsen@dsslab.com) is Chief Scientist at DSS Lab, Inc., where he consults on the design and implementation of OLAP-based decision support systems, teaches at corporations and universities, and conducts research in the field of unified information systems. He also writes the "Analytic Solutions" column for Intelligent Enterprise. He is a coauthor of Microsoft OLAP Solutions (Wiley).
Content
Preface.
Acknowledgments.
PART ONE: THE NEED FOR MULTIDIMENSIONAL TECHNOLOGY.
The Functional Requirements of OLAP Systems.
The Limitations of Spreadsheets and SQL.
Thinking Clearly in N Dimensions.
PART TWO: CORE TECHNOLOGY.
Introducton to the LC Model.
The Internal Structure of a Dimension.
Hypercubes or Semantic Spaces.
Multidimensional Formulas.
Links.
Analytic Visualization.
Physical Design of Applications.
PART THREE: APPLICATIONS.
Practical Steps for Designing and Implementing OLAP Models.
Introduction to the Foodcakes Application Example.
Purchasing and Currency Exchange.
Materials Inventory Analysis.
FCI's Sales and Marketing.
FCI's Activity-Based Manegement.
A Computational Example.
PART FOUR: FURTHER ISSUES.
Multidimensional Guidelines.
Product Language Comparisons.
DSS Fusion.
Appendix A: Formula Index.
Appendix B: Standards in the OLAP Marketplace.
Appendix C: LC Language Constructs.
Appendix D: Glossary.
Appendix E: The Relationship Between Dimensions and Variables.
Appendix F: Toward a Theoretically Grounded Model for OLAP and Its Conection to the Relational Model and Canonical Logic.
Appendix G: Codd's 18 Features.
Notes.
Bibliography.
Index.
Acknowledgments.
PART ONE: THE NEED FOR MULTIDIMENSIONAL TECHNOLOGY.
The Functional Requirements of OLAP Systems.
The Limitations of Spreadsheets and SQL.
Thinking Clearly in N Dimensions.
PART TWO: CORE TECHNOLOGY.
Introducton to the LC Model.
The Internal Structure of a Dimension.
Hypercubes or Semantic Spaces.
Multidimensional Formulas.
Links.
Analytic Visualization.
Physical Design of Applications.
PART THREE: APPLICATIONS.
Practical Steps for Designing and Implementing OLAP Models.
Introduction to the Foodcakes Application Example.
Purchasing and Currency Exchange.
Materials Inventory Analysis.
FCI's Sales and Marketing.
FCI's Activity-Based Manegement.
A Computational Example.
PART FOUR: FURTHER ISSUES.
Multidimensional Guidelines.
Product Language Comparisons.
DSS Fusion.
Appendix A: Formula Index.
Appendix B: Standards in the OLAP Marketplace.
Appendix C: LC Language Constructs.
Appendix D: Glossary.
Appendix E: The Relationship Between Dimensions and Variables.
Appendix F: Toward a Theoretically Grounded Model for OLAP and Its Conection to the Relational Model and Canonical Logic.
Appendix G: Codd's 18 Features.
Notes.
Bibliography.
Index.