Oracle Data Warehouse Tuning for 10g

Gavin Powell

ISBN 10: 1555583350 / ISBN 13: 9781555583354

Published by Elsevier Inc Sep 2005, 2005

About this Item

Neuware - '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 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.\* 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 tuning.

Seller Inventory # 9781555583354

Bibliographic Details

• Title: Oracle Data Warehouse Tuning for 10g
• Publisher: Elsevier Inc Sep 2005
• Publication Date: 2005
• Language: English
• ISBN 10: 1555583350
• ISBN 13: 9781555583354
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 234W x 190H x 31D millimeters 234 millimeters width by 190 millimeters height by 31 millimeters depth
• Weight: 1025 grams

About this title

Synopsis

“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.

About the Author

Gavin Powell, BSc. Comp.Sci., OCP (Oracle8i Certified Professional) has fifteen years of computer industry experience. Diverse experience in database administration and database development in both relational and object databases. Applications development experience is procedural and object-oriented. He also has some systems administration experience. His extensive consulting experience includes software vendors, internet .COM’s (some unfortunately have met with their demise), accounting, banking, financial services, the travel industry, construction, retail, mining, shipping, education and general advisory capacity. Gavin Powell has worked with many software products, tools and programming languages. These tools include items in the list shown below. He has authored two successful books Oracle …High performance Tuning and the just released Oracle SQL