Oracle DBA Guide to Data Warehousing and Star Schemas
Published on 19. June 2003
Book
Paperback/Softback
240 pages
978-0-13-032584-6 (ISBN)
Description
This book addresses all aspects of constructing star schemas within Oracle data warehouses, from modeling and design through high-speed loads and lightning fast queries. The book delivers meaningful examples complemented by empirical samples and benchmarks, such that readers will learn more than just the mechanics. This book transforms readers into subject matter experts for dimensional modeling, star schemas and data warehousing in general for the Oracle database environment. This book is based on research conducted for the multi-terabyte data warehouse for the 7-Eleven Corporation. Star schema: a data warehouse design that enhances the performance of multidimensional queries on traditional relational databases. One fact table is surrounded by a series of related tables. Data is joined from one of the points to the center, providing a so called "star query." Previously announced in 2/2003 PTG catalog.
More details
Language
English
Place of publication
Upper Saddle River
United States
Publishing group
Pearson Education (US)
Target group
College/higher education
Dimensions
Height: 100 mm
Width: 100 mm
Thickness: 100 mm
Weight
100 gr
ISBN-13
978-0-13-032584-6 (9780130325846)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Person
BERT SCALZO is a product architect for Quest Software. As a member ofthe TOAD development team, he designed many of the features in the TOADDBA module. Scalzo has presented numerous papers on data warehousing andled or served on data warehouse special interest groups at Oracle eventsthroughout the past five years. He has worked for both Oracle Educationand Oracle Consulting, holds several Oracle Masters, a Ph.D. in ComputerScience, an MBA, and several insurance industry designations. Scalzodesigned 7-Eleven's multi-terabyte, star-schema data warehouse. He isauthor of The TOAD Handbook.
Content
Acknowledgments.
Introduction.
1.What Is a Data Warehouse?
The Nature of the Beast. Data Warehouse vs. Big Database. Operational Data Stores Don't Count. Executive Information Systems Don't Count. Warehouses Evolve without Phases. The Warehouse Roller Coaster.
2. Software Architecture.
Business Intelligence Options. Oracle Version Options. Oracle Instance Options-Querying. Oracle Instance Options-Loading. Recommended Oracle Architecture. Great Operating System Debate. The Great Programming Language Debate. The Serial vs. Parallel Programming Debate.
3. Hardware Architecture.
Four Basic Questions. How Many CPUs? How Much Memory? How Many of What Disks? Recommended Hardware Architecture. The Great Vendor Debate. The 32- vs. 64-Bit Oracle Debate. The Raw vs. Cooked Files Debate. The Need for Logical Volume Managers.
4. Star Schema Universe.
The Rationale for Stars. Star Schema Challenges. Modeling Star Schemas. Avoid Snowflakes. Dimensional Hierarchies. Querying Star Schemas. Fact Table Options. When Stars Implode.
5.Tuning Ad-Hoc Queries.
Key Tuning Requirements. Star Optimization Evolution. Star Transformation Questions. Initialization Parameters. Star Schema Index Design. Cost-Based Optimizer. Some Parting Thoughts.
6. Loading the Warehouse.
What About ETL Tools? Loading Architecture. Upstream Source Data. Transformation Requirements. Method 1: Transform, Then Load. Method 2: Load, Then Transform. Deploying the Loading Architecture.
7. Implementing Aggregates.
What Aggregates to Build? Loading Architecture. Aggregation by Itself. Use Materialized Views.
8. Partitioning for Manageability.
A Plethora of Design Options. Logical Partitioning Design. Simple Partitioning in 8i. Simple Partitioning in 9i. Complex Partitioning in 8i. Complex Partitioning in 9i. Partition Option Benchmarks.
9. Operational Issues and More.
Backup and Recovery. Space Management. Extent Management. Updates and Patches.
Index.
Introduction.
1.What Is a Data Warehouse?
The Nature of the Beast. Data Warehouse vs. Big Database. Operational Data Stores Don't Count. Executive Information Systems Don't Count. Warehouses Evolve without Phases. The Warehouse Roller Coaster.
2. Software Architecture.
Business Intelligence Options. Oracle Version Options. Oracle Instance Options-Querying. Oracle Instance Options-Loading. Recommended Oracle Architecture. Great Operating System Debate. The Great Programming Language Debate. The Serial vs. Parallel Programming Debate.
3. Hardware Architecture.
Four Basic Questions. How Many CPUs? How Much Memory? How Many of What Disks? Recommended Hardware Architecture. The Great Vendor Debate. The 32- vs. 64-Bit Oracle Debate. The Raw vs. Cooked Files Debate. The Need for Logical Volume Managers.
4. Star Schema Universe.
The Rationale for Stars. Star Schema Challenges. Modeling Star Schemas. Avoid Snowflakes. Dimensional Hierarchies. Querying Star Schemas. Fact Table Options. When Stars Implode.
5.Tuning Ad-Hoc Queries.
Key Tuning Requirements. Star Optimization Evolution. Star Transformation Questions. Initialization Parameters. Star Schema Index Design. Cost-Based Optimizer. Some Parting Thoughts.
6. Loading the Warehouse.
What About ETL Tools? Loading Architecture. Upstream Source Data. Transformation Requirements. Method 1: Transform, Then Load. Method 2: Load, Then Transform. Deploying the Loading Architecture.
7. Implementing Aggregates.
What Aggregates to Build? Loading Architecture. Aggregation by Itself. Use Materialized Views.
8. Partitioning for Manageability.
A Plethora of Design Options. Logical Partitioning Design. Simple Partitioning in 8i. Simple Partitioning in 9i. Complex Partitioning in 8i. Complex Partitioning in 9i. Partition Option Benchmarks.
9. Operational Issues and More.
Backup and Recovery. Space Management. Extent Management. Updates and Patches.
Index.