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Oracle DBA Guide to Data Warehousing and Star Schemas



eBook Information



Oracle DBA Guide to Data Warehousing and Star Schemas

ISBN  0130325848
Release Date  30 November 1999
Category  Oracle
Tags  oracle,  
warehousing,  
oracle dba,  
dba,  
oracle 10g,  
dataware housing,  
oracle 9i,  
"data warehousing",  
data warehousing,  
data warehouse,  
schema,  
oracle data warehouse,  
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oracle 11g,  
oracle expert,  
oracle9i dba book,  
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dba oracle,  
data harvesting,  
oracle datawarehous,  
osborn oracle press,  
oracle warehouse,  
oracle administration,  
berkley db,  
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Description

Oracle DBA Guide to Data Warehousing and Star Schemas.


  • 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










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