Oracle DBA Guide to Data Warehousing and Star Schemas (The Prentice Hall Ptr Oracle Series) - Tapa blanda

Reseña del editor

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.

Contraportada

• 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

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