The ultimate reference guide to successful implementation of star schemas within Oracle data warehouses -- Covers Oracle 8i and Oracle 9i!
Covers all aspects of constructing star schemas within Oracle data warehouses, from modeling and design through high-speed loads and queries.
Includes proven techniques tested on multiple, multi-terabyte data warehouses.
Uses real-world examples, sample code and benchmarks to illustrate key concepts.
Part of the PHPTR Oracle Series.
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. Bert Scalzo has worked as an Oracle DBA with versions 4 through 9i. He has worked for both Oracle Education and Consulting. He holds several Oracle Masters, a BS, MS and PhD in Computer Science, an MBA and several insurance industry designations. His key areas of DBA interest are Linux and data warehousing (Mr. Scalzo was the DBA for 7-Eleven Corporation's enterprise multi-terabyte data warehouse). Mr. Scalzo has also written articles in Oracle Informant, PC Week, Linux Journal, Oracle Magazine and www.linux.com. Product 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.
Backcover
The definitive, real-world guide to Oracle data warehousing
Maximizing performance, flexibility, and manageability in production environments
Hardware/software architectures, star schema design, partitioning, and more
Industrial strength data loading and query optimization techniques
By the world-renowned architect of 7-Eleven's multi-terabyte datawarehouse
Maximize Oracle data warehouse performance, flexibility, and manageability Oracle DBAs finally have a definitive guide to every aspect of designing, constructing, tuning, and maintaining star schema data warehouses with Oracle 8i and 9i. Bert Scalzo, one of the world's leading Oracle data warehousing experts, offers practical, hard-won lessons and breakthrough techniques for maximizing performance, flexibility, and manageability in any production environment. Coverage includes:
Data warehousing fundamentals for DBAs--including what a data warehouse isn't
Planning software architecture: business intelligence, user interfaces, Oracle versions, OS platforms, and more
Planning hardware architecture: CPUs, memory, disk space, and configuration
Radically different star schema design for radically improved performance
Tuning ad-hoc queries for lightning speed Industrial-strength data loading techniques
Aggregate tables: maximizing performance benefits, minimizing complexity tradeoffs
Improving manageability: The right ways to partition
Data warehouse administration: Backup/recovery, space and extent management, updates, patches, and more
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.
This book gives the reader best practices for implementing and managing a datawarehouse on the Oracle Platform. This book tells datawarehousing professionals what they need to totally change the way they manage databases and to use star schemas to run an efficient datawarehouse.
Covers all aspects of constructing star schemas within Oracle data warehouses, from modeling and design through high-speed loads and queries.
Includes proven techniques tested on multiple, multi-terabyte data warehouses.
Uses real-world examples, sample code and benchmarks to illustrate key concepts.
Part of the PHPTR Oracle Series.
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. Bert Scalzo has worked as an Oracle DBA with versions 4 through 9i. He has worked for both Oracle Education and Consulting. He holds several Oracle Masters, a BS, MS and PhD in Computer Science, an MBA and several insurance industry designations. His key areas of DBA interest are Linux and data warehousing (Mr. Scalzo was the DBA for 7-Eleven Corporation's enterprise multi-terabyte data warehouse). Mr. Scalzo has also written articles in Oracle Informant, PC Week, Linux Journal, Oracle Magazine and www.linux.com. Product 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.
Backcover
The definitive, real-world guide to Oracle data warehousing
Maximizing performance, flexibility, and manageability in production environments
Hardware/software architectures, star schema design, partitioning, and more
Industrial strength data loading and query optimization techniques
By the world-renowned architect of 7-Eleven's multi-terabyte datawarehouse
Maximize Oracle data warehouse performance, flexibility, and manageability Oracle DBAs finally have a definitive guide to every aspect of designing, constructing, tuning, and maintaining star schema data warehouses with Oracle 8i and 9i. Bert Scalzo, one of the world's leading Oracle data warehousing experts, offers practical, hard-won lessons and breakthrough techniques for maximizing performance, flexibility, and manageability in any production environment. Coverage includes:
Data warehousing fundamentals for DBAs--including what a data warehouse isn't
Planning software architecture: business intelligence, user interfaces, Oracle versions, OS platforms, and more
Planning hardware architecture: CPUs, memory, disk space, and configuration
Radically different star schema design for radically improved performance
Tuning ad-hoc queries for lightning speed Industrial-strength data loading techniques
Aggregate tables: maximizing performance benefits, minimizing complexity tradeoffs
Improving manageability: The right ways to partition
Data warehouse administration: Backup/recovery, space and extent management, updates, patches, and more
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.
This book gives the reader best practices for implementing and managing a datawarehouse on the Oracle Platform. This book tells datawarehousing professionals what they need to totally change the way they manage databases and to use star schemas to run an efficient datawarehouse.