Overview

"8508A-8 Design your data warehouse correctly from the start! It is well-documented that most data warehouse projects fail. The #1 reason: poor data models or the failure of warehouse designers to apply a sound design methodology. Too many warehouses, and too many books, treat building the warehouse from a template approach. Don't fall into that trap! Object-Oriented Data Warehouse Design: Building a Star Schema delivers data modeling methodologies that are proven to work. In data warehouse design, one size definitely doesn't fit all! So, * Build a complete star schema data model -- from initial analysis through implementation * Make better decisions about granularity and precision * Master dimensioning, hierarchies, sizing, and more With Object-Oriented Data Warehouse Design: Building a Star Schema, you will design your data warehouse for maximum business value-the first time. ""I highly recommend the book for its clarity and practicality. Bill has taken a complex subject and brought it down to the level of readability and comprehension."" - Bill Inmon"

Full Product Details

Author:   William A. Giovinazzo
Publisher:   Pearson Education (US)
Imprint:   Prentice Hall
Dimensions:   Width: 24.30cm , Height: 3.00cm , Length: 18.30cm
Weight:   0.562kg
ISBN:  

9780130850812

ISBN 10:   0130850810
Pages:   368
Publication Date:   29 February 2000
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Out of Print
Availability:   Out of stock  

Table of Contents

1. The Data Warehouse. Business Intelligence. The Data Warehouse. Decision Support Systems. Summary. Glossary. 2. Object-Oriented Design. The Development Process. Metadata. The Objective of Objects. Summary. Glossary. 3. Analysis and Design. The Definition Phase. The Analysis Phase. The Design Phase. Summary. Glossary. 4. The Implementation Model. Dimensionality. Dimensionality and Information Systems. Star Schema. Summary. Glossary. 5. Dimension Tables-the Nouns of the Data Warehouse. Dimension-Table Characteristics. Slowly Changing Dimensions. Constellations and Conforming Dimensions. Snowflakes. Dimension of Time. The Dimensions of BBBC. Summary. Glossary. 6. Fact Tables-The Verbs of the Data Warehouse. Fact Tables. Factless Fact Tables. Degenerate Dimensions. Degenerate Facts. Heterogeneous Fact Tables. BBBC Fact Tables. Summary. Glossary. 7. Implementation Considerations. Parallel Processing. Bitmapped Indexing. Star Query Optimization. Summation Tables. Web-Enabled Data Warehousing. The BBBC Data Warehouse. Summary. Glossary. Appendix A: The Spacially Enabled Data Warehouse. Analyzing Patient Needs. Appendix B: Extraction, Transformation, and Loading. The ETL Strategy. Appendix C: Metadata Standards. The Open Information Model. Common Warehouse Metadata. Appendix D: Conventional Wisdom, Tips, Hints, and General Advice. Glossary. Index.

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Author Information

William Giovinazzo has been an Oracle instructor, a software engineer, and a systems analyst, and has worked on every side of a data warehouse, including marketing, sales, development, implementation, and maintenance. Now a Business Intelligence Evangelist at Oracle Corporation, he regularly writes columns and speaks on data warehousing and Oracle technologies.

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