| About the book | |
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: | |
| Key features | |
| About the author | |
Soumendra Mohanty Soumendra Mohanty is currently a Senior Executive and Global AIMS Lead at Accenture. He also leads the assets and thought leadership initiatives across the technology capabilities at Accenture India Delivery Center. Mr. Mohanty has more than 15 years of experience of working on large Business Intelligence and Analytics programs for several Fortune 500 companies. He received his masters degree in Computer and Applications from the College of Engineering and Technology, Orissa. Mr. Mohanty is widely regarded as an expert and thought leader. His experience includes information management strategy development, technology roadmap planning, DW/BI systems implementation, analytics solutions, and transforming/mobilizing large outsourcing engagements in the information management area. Mr. Mohanty has authored numerous journal and conference papers in the fields of data management and business intelligence. He has authored the book 'A Practical Guide to Data Warehousing: Design and Implementation', published by Tata McGraw Hill. He is a regular speaker at many international conferences such as CII where he is the Keynote Speaker, informatica World Conference, Business Objects World Conference and Teradata User Conference. | |
| 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 | |




