Oracle8 Data Warehousing - Softcover

Dodge, Gary; Gorman, Tim

 
9780471199526: Oracle8 Data Warehousing

Inhaltsangabe

This text explains how to design, build, and manage an Oracle data warehouse. It is aimed at database developers and administrators who are seeking technical details of how to build an Oracle data warehouse. It begins with a brief overview of the basics of data warehousing, then shows technically how to: select an appropriate hardware architecture to support the data warehouse; design the data warehouse for optimum performance; build the database; load data into the data warehouse using various tools and techniques; administer and monitor data warehouse performance; tune the warehouse to improved performance; and carry out advanced techniques for distributing and mining data using OLAP techniques.

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Über die Autorin bzw. den Autor

Gary Dodge and Tim Gorman are technical managers within Oracle Consulting Services who design and build large Oracle data warehouses. They are also experienced trainers, teaching classes for Oracle Education.

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The latest technical methods for building and managing a high–performance Oracle(r) data warehouse.

Oracle8TM Data Warehousing is the ideal A–to–Z guide to building and managing a high–performance data warehouse for veteran Oracle users and newcomers alike. Database developers will be briefed on the latest technical methods for designing and building an Oracle7TM or Oracle8 data warehouse, while administrators find out how to manage an Oracle data warehouse for maximum efficiency. This valuable guide is the only book that fully covers the data warehouse features of both Oracle7 and Oracle8.

Packed with practical and proven techniques from Oracle8 insiders, the book begins with a concise yet thorough overview of data warehousing principles and practices. It then cuts to the chase with detailed, step–by–step advice and guidance on how to:

  • Use and get the most from all of Oracle8 databases′ new data warehousing features
  • Select the right hardware architecture to support a data warehouse
  • Design and build a data warehouse for optimum performance
  • Load data into a data warehouse
  • Aggregate data for improved processing performance
  • Distribute and analyze data using advanced OLAP techniques
  • Administer and maintain your data warehouse
  • Monitor and fine–tune data warehouse performance.

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