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Oracle Data Warehouse Tuning for 10g [Paperback]

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  • Category: Books (Computers)
  • Author:  Gavin JT Powell
  • Author:  Gavin JT Powell
  • ISBN-10:  1555583350
  • ISBN-10:  1555583350
  • ISBN-13:  9781555583354
  • ISBN-13:  9781555583354
  • Publisher:  Digital Press
  • Publisher:  Digital Press
  • Pages:  504
  • Pages:  504
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Jun-2005
  • Pub Date:  01-Jun-2005
  • SKU:  1555583350-11-MPOD
  • SKU:  1555583350-11-MPOD
  • Item ID: 100848793
  • Seller: ShopSpell
  • Ships in: 2 business days
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  • Delivery by: Dec 18 to Dec 20
  • Notes: Brand New Book. Order Now.
This 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.?
- Tim Donar, Author and Systems Architect
for Enterprise Data Warehouses

Tuning 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.

* Takes users beyond basics to critical issues in running most efficient data warehouse applications
* Illustrates how to keep data going in and out in the most productive way possible
* Focus is placed on Data Warehouse performance tuningIntroduction to Data Warehousing; Data Warehouse Data Modeling; Making Hardware and I/O Perform in a Data Warehouse; Data Warehouse Physical Architecture; Effective Data Warehouse Indexing; Constraints and Integrity in Data Warehouses; Using Partitioning and Tuning Parallel Processing; Materialized Views and Query Rewrites; Oracle Dimension Objects; Data Loading: Extraction and Transportation; Data Loading: Loading and Transformation; SQL Aggregatilăq
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