Title
The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling,Used
Sold by Ergodebooks, an authorized reseller.
Returns accepted within 30 days | support@ergodebooks.com
Shipping Information
- Free Standard Shipping — United States only
- Processing Time: 1–3 business days
- Estimated Delivery: 3–5 business days after dispatch
- Double-boxed, fully insured & discreetly packaged
- Tracking number sent via email once dispatched
- Orders over $250 require signature upon delivery. Taxes calculated at checkout.
Returns & Refund
Returns accepted within 30 days of delivery.
Damaged or Defective Item
Free return shipping + replacement or full refund
Wrong Item Received
Free return shipping + replacement or full refund
Change of Mind
Return shipping at customer's expense · 25% restocking fee applies
Payment Option
Updated new edition of Ralph Kimball's groundbreaking book on dimensional modeling for data warehousing and business intelligence!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 realworld case studies from a variety of industries,including retail sales, financial services, telecommunications,education, health care, insurance, ecommerce, 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.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: What is the main focus of 'The Data Warehouse Toolkit'? A: The main focus of 'The Data Warehouse Toolkit' is on dimensional modeling for data warehousing and business intelligence, providing comprehensive techniques and best practices in this field.
- Q: Who are the authors of this book? A: The authors of 'The Data Warehouse Toolkit' are Ralph Kimball and Margy Ross, recognized experts in data warehousing and business intelligence.
- Q: What edition of the book is this? A: This is the third edition of 'The Data Warehouse Toolkit', which includes updated content and new chapters.
- Q: How many pages does the book have? A: The book contains 608 pages of detailed information on dimensional modeling and related techniques.
- Q: What are some topics covered in this book? A: The book covers new star schema dimensional modeling patterns, ETL techniques, and business matrices for various case studies across different industries.
- Q: Is this book suitable for beginners? A: Yes, the book starts with fundamental design recommendations, making it suitable for beginners as well as experienced practitioners.
- Q: What is the binding type of the book? A: The book is available in paperback binding.
- Q: When was this edition published? A: This edition was published on July 1, 2013.
- Q: Can this book help with big data analytics? A: Yes, the book includes unique modeling techniques that are applicable to big data analytics and other business applications.
- Q: What industries does this book draw case studies from? A: The book draws case studies from various industries including retail, financial services, telecommunications, education, healthcare, insurance, and e-commerce.