Ralph Kimball introduced the industry to the techniques of dimensional modeling in the first edition of The Data Warehouse Toolkit (1996). Since then, dimensional modeling has become the most widely accepted approach for presenting information in data warehouse and business intelligence (DW/BI) syst
The Data Warehouse Toolkit, 3rd Edition: The Definitive Guide to Dimensional Modeling
โ Scribed by Ralph Kimball, Margy Ross
- Publisher
- Wiley
- Year
- 2013
- Tongue
- English
- Leaves
- 601
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
The first edition of Ralph Kimball's The Data Warehouse Toolkit introduced the industry to dimensional modeling, and now his books are considered the most authoritative guides in this space. This new third edition is a complete library of updated dimensional modeling techniques, the most comprehensive collection ever. It covers new and enhanced star schema dimensional modeling patterns, adds two new chapters on ETL techniques, includes new and expanded business matrices for 12 case studies, and more.
๐ SIMILAR VOLUMES
Ralph Kimball introduced the industry to the techniques of dimensional modeling in the first edition of The Data Warehouse Toolkit (1996). Since then, dimensional modeling has become the most widely accepted approach for presenting information in data warehouse and business intelligence (DW/BI) syst
Ch. 1. Dimensional Modeling Primer -- Ch. 2. Retail Sales -- Ch. 3. Inventory -- Ch. 4. Procurement -- Ch. 5. Order Management -- Ch. 6. Customer Relationship Management -- Ch. 7. Accounting -- Ch. 8. Human Resources Management -- Ch. 9. Financial Services -- Ch. 10. Telecommunications and Utilitie
Utilizing case studies from a variety of business applications, the authors present dimensional modeling techniques for data warehousing. Emphasizing user understandability and query performance, chapters cover techniques in the areas of retail sales , inventory, procurement, order management, custo
As other reviers have mentioned, this book covers wide, but not that deep. Like many books, it gives advice so generic as to be useless, but an easy to understand overview has its importance too, so perhaps this is a good place to start. So you will see the basic problems of combining data from diff