Facts, as such, never settled anything. They are working tools only. It is the implications that can be drawn from the facts that count, and to evaluate these requires wisdom and judgment... Clarence B. Randall Enterprises today have recognized the importance of data warehousing solutions in making strategic business decisions. This thought-provoking book provides a practical line of attack to planning, building and managing a successful data warehouse. It incorporates: • A business driven approach with numerous real life issues for tackling various problems encountered in every data warehousing task. • The best practices developed from tried and tested methods during various project life cycles. • Every important aspect - the concept of data warehousing, the reasons behind it, the framework, the planning and implementation and the delivery of a data warehouse. The book is meant for anyone keen to understand the intricacies of building a data warehouse developers who are not looking to plough through extraneous detail but are focused on extracting the essentials of concepts, would find the approach easy to understand to commence development of a project quickly and confidently.

Table of Contents:
Chapter 1. Introduction to Data Warehousing Chapter 2. The Journey Management Chaptr 3. Data Warehouse Design Consideration and Dimensional Modeling Chapter 4. Implementing Changing Dimensions Chapter 5. Designing the Data Warehouse-Common Steps Chapter 6. Advanced Topics?Dimensional Modeling-Best Practices Chapter 7. Advanced Topics?Extract, Transform and Loading Process Chapter 8. Guidelines for Operation Architecture Chapter 9. Advanced Topics-Metadata Management Chapter 10. Advanced Topics-Testing a Data Warehouse Application Chapter 11. Advanced Topics-Data Warehouse Performance Management Techniques Chapter 12. Advanced Topics-Measuring the Effectiveness of a Data Warehouse Chapter 13. Advanced Topics-Data Warehousing and OLAP Chapter 14. Advanced Topics-CRM and Data Warehousing Chapter 15. Advanced Topics-Real-Time Data Warehousing