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Object-Oriented Data Warehouse Design: A Star Schema by Giovinazzo, William A.

by Giovinazzo, William A. | PB | Good
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US $5.62
Approximately£4.14
Condition:
Good
“Missing dust jacket; Pages can have notes/highlighting. Spine may show signs of wear. ~ ”... Read moreAbout condition
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Last updated on 28 Apr, 2025 21:53:04 BSTView all revisionsView all revisions

Item specifics

Condition
Good
A book that has been read, but is in good condition. Minimal damage to the book cover eg. scuff marks, but no holes or tears. If this is a hard cover, the dust jacket may be missing. Binding has minimal wear. The majority of pages are undamaged with some creasing or tearing, and pencil underlining of text, but this is minimal. No highlighting of text, no writing in the margins, and no missing pages. See the seller’s listing for full details and description of any imperfections. See all condition definitionsopens in a new window or tab
Seller notes
“Missing dust jacket; Pages can have notes/highlighting. Spine may show signs of wear. ~ ...
Binding
Paperback
Book Title
Object-Oriented Data Warehouse Design
Weight
2 lbs
Product Group
Book
IsTextBook
Yes
ISBN
9780130850812

About this product

Product Identifiers

Publisher
Prentice Hall PTR
ISBN-10
0130850810
ISBN-13
9780130850812
eBay Product ID (ePID)
779291

Product Key Features

Number of Pages
368 Pages
Language
English
Publication Name
Object-Oriented Data Warehousing Design : Building a Star Schema
Subject
Databases / Data Warehousing
Publication Year
2000
Type
Textbook
Author
William A. Giovinazzo
Subject Area
Computers
Format
Trade Paperback

Dimensions

Item Height
1.2 in
Item Weight
19.8 Oz
Item Length
7.2 in
Item Width
9.6 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
99-089100
Dewey Edition
21
Illustrated
Yes
Dewey Decimal
005.75/85
Table Of Content
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.
Synopsis
Most data warehouse projects fail -- and the #1 cause is a failure to implement the right data models. In this book, leading data warehouse expert William Giovanazzo details a proven software engineering methodology and world-class techniques for data modeling in any decision support environment. Unlike other books, Object-Oriented Data Warehouse Design: Building a Star Schema recognizes that "one size doesn't fit all" in data warehouse design -- and introduces a methodology that can easily be applied to any organization's realities. Readers will develop a star schema data model from start to finish, addressing key issues such as granularity and precision; dimensions; hierarchies, and sizing. Every step is introduced with theory and supported with a live case study example. The book includes methodology checklists, chapter review questions, glossaries, bibliographies, and more. For data warehouse designers and developers, and for DBAs and system engineers in companies developing a data warehouse.
LC Classification Number
QA76.9.D37G56 2000

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