文件名称：The Data Warehouse Tookit 3rd.epub
文件大小：6.68MB
文件格式：EPUB
更新时间：2021-10-27 07:27:42
Ralph Kimbal
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. Authored by Ralph Kimball and Margy Ross, known worldwide as educators, consultants, and influential thought leaders in data warehousing and business intelligence Begins with fundamental design recommendations and progresses through increasingly complex scenarios Presents unique modeling techniques for business applications such as inventory management, procurement, invoicing, accounting, customer relationship management, big data analytics, and more Draws real-world case studies from a variety of industries, including retail sales, financial services, telecommunications, education, health care, insurance, e-commerce, and more Design dimensional databases that are easy to understand and provide fast query response with The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition. Table of Contents Chapter 1. Data Warehousing, Business Intelligence, and Dimensional Modeling Primer Chapter 2. Kimball Dimensional Modeling Techniques Overview Chapter 3. Retail Sales Chapter 4. Inventory Chapter 5. Procurement Chapter 6. Order Management Chapter 7. Accounting Chapter 8. Customer Relationship Management Chapter 9. Human Resources Management Chapter 10. Financial Service Chapter 11. Telecommunications Chapter 12. Transportation Chapter 13. Education Chapter 14. Healthcare Chapter 15. Electronic Commerce Chapter 16. Insurance Chapter 17. Kimball DW/BI Lifecycle Overview Chapter 18. Dimensional Modeling Process and Tasks Chapter 19. ETL Subsystems and Techniques Chapter 20. ETL System Design and Development Process and Tasks Chapter 21. Big Data Analytics