Oracle Data Warehouse Tuning for 10g
- 1st Edition - September 2, 2005
- Imprint: Digital Press
- Author: Gavin JT Powell
- Language: English
- Paperback ISBN:9 7 8 - 1 - 5 5 5 5 8 - 3 3 5 - 4
- eBook ISBN:9 7 8 - 0 - 0 8 - 0 4 5 9 1 7 - 2
“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… Read more
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Request a sales quote“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.
- 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 tuning
* Illustrates how to keep data going in and out in the most productive way possible
* Focus is placed on Data Warehouse performance tuning
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.
Contents at a Glance
Chapter 1. Introduction to Data Warehousing
Chapter 2. Data Warehouse Data Modeling
Chapter 3. Making Hardware and I/O Perform in a Data Warehouse
Chapter 4. Data Warehouse Physical Architecture
Chapter 5. Effective Data Warehouse Indexing
Chapter 6. Constraints and Integrity in Data Warehouses
Chapter 7. Using Partitioning and Tuning Parallel Processing
Chapter 8. Materialized Views and Query Rewrites
Chapter 9. Oracle Dimension Objects
Chapter 10. Data Loading: Extraction and Transportation
Chapter 11. Data Loading: Loading and Transformation
Chapter 12. SQL Aggregation Using GROUP BY Clause Extensions
Chapter 13. Analysis Reporting Using Special SQL Functions
Chapter 14. SQL and the MODEL Clause
Chapter 15. OLAP (Online Analytical Processing) and Mining the Redo Logs with Data Miner
Appendices
Chapter 1. Introduction to Data Warehousing
Chapter 2. Data Warehouse Data Modeling
Chapter 3. Making Hardware and I/O Perform in a Data Warehouse
Chapter 4. Data Warehouse Physical Architecture
Chapter 5. Effective Data Warehouse Indexing
Chapter 6. Constraints and Integrity in Data Warehouses
Chapter 7. Using Partitioning and Tuning Parallel Processing
Chapter 8. Materialized Views and Query Rewrites
Chapter 9. Oracle Dimension Objects
Chapter 10. Data Loading: Extraction and Transportation
Chapter 11. Data Loading: Loading and Transformation
Chapter 12. SQL Aggregation Using GROUP BY Clause Extensions
Chapter 13. Analysis Reporting Using Special SQL Functions
Chapter 14. SQL and the MODEL Clause
Chapter 15. OLAP (Online Analytical Processing) and Mining the Redo Logs with Data Miner
Appendices
- Edition: 1
- Published: September 2, 2005
- Imprint: Digital Press
- No. of pages: 504
- Language: English
- Paperback ISBN: 9781555583354
- eBook ISBN: 9780080459172
GP
Gavin JT Powell
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
Affiliations and expertise
Microsoft and Database consultant; Author of seven database books.Read Oracle Data Warehouse Tuning for 10g on ScienceDirect