Oracle Data Warehouse Tuning for 10gBy
- Gavin Powell
âThis book should satisfy those who want a different perspective than the official Oracle documentation. It will cover all important aspects of a data warehouse while giving the necessary examples to make the reading a lively experience.â - Tim Donar, Author and Systems Architect for Enterprise Data WarehousesTuning a data warehouse database focuses on large transactions, mostly requiring what is known as throughput. Throughput is the passing of large amounts of information through a server, network and Internet environment, backwards and forwards, constantly! The ultimate objective of a data warehouse is the production of meaningful and useful reporting, from historical and archived data. The trick is to make the reports print within an acceptable time frame.A data model contains tables and relationships between tables. Tuning a data model involves Normalization and Denormalization. Different approaches are required depending on the application, such as OLTP or a Data Warehouse. Inappropriate database design can make SQL code impossible to tune. Poor data modeling can have a most profound effect on database performance since all SQL code is constructed from the data model.
DBAs responsible for maximizing efficiency of data warehouse applications. Students in a Computer Science, Computer Information Systems, or Management Information Systems curriculum, or Oracle professionals.
Paperback, 504 Pages
Published: September 2005
Imprint: Digital Press
- Contents at a GlanceChapter 1. Introduction to Data WarehousingChapter 2. Data Warehouse Data ModelingChapter 3. Making Hardware and I/O Perform in a Data WarehouseChapter 4. Data Warehouse Physical ArchitectureChapter 5. Effective Data Warehouse IndexingChapter 6. Constraints and Integrity in Data WarehousesChapter 7. Using Partitioning and Tuning Parallel ProcessingChapter 8. Materialized Views and Query RewritesChapter 9. Oracle Dimension Objects Chapter 10. Data Loading: Extraction and TransportationChapter 11. Data Loading: Loading and TransformationChapter 12. SQL Aggregation Using GROUP BY Clause ExtensionsChapter 13. Analysis Reporting Using Special SQL FunctionsChapter 14. SQL and the MODEL ClauseChapter 15. OLAP (Online Analytical Processing) and Mining the Redo Logs with Data MinerAppendices