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Kimball's Data Warehouse Toolkit Classics, 3 Volume Set
Ebook Download Kimball's Data Warehouse Toolkit Classics, 3 Volume Set
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About the Author
Ralph Kimball is known worldwide as an innovator, writer, educator, speaker and consultant in the field of data warehousing. His books on data warehousing and dimensional design techniques have become the all-time best sellers in data warehousing. Margy Ross is President of DecisionWorks Consulting and a Ralph Kimball Associate. She has focused exclusively on decision support and data warehousing since 1982. Bob Becker has worked to implement large-scale decision support and data warehousing systems since 1990. Bob teaches Kimball University on-site courses. Joy Mundy has focused on data warehousing and business intelligence since the early 1990s, specializing in business requirements analysis, dimensional modeling, and business intelligence systems architecture. Warren Thornthwaite has been building decision support and data warehousing systems since 1980.
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Product details
Paperback: 1800 pages
Publisher: Wiley; 2 edition (February 24, 2014)
Language: English
ISBN-10: 9781118875186
ISBN-13: 978-1118875186
ASIN: 1118875184
Product Dimensions:
10.3 x 3.9 x 12.9 inches
Shipping Weight: 6.5 pounds (View shipping rates and policies)
Average Customer Review:
4.8 out of 5 stars
7 customer reviews
Amazon Best Sellers Rank:
#523,450 in Books (See Top 100 in Books)
The Data Warehouse Toolkit is a (if not the) definitive work in this arena. It's not perfect, for instance the book claims to support MS SQL Server but it suggests using a view as a foreign key table which is not possible in MS SQL Server. That said all of these issues have solutions that you know from experience or can figure out on stackoverflow. The other two books are OK. If I had to order again I would just get the single book.
It is the Bible for dimensional modeling.
A must-read to any BI consultant.
Great resources for all things related to databases and data management.
Just what I was expecting
Excelente!!!!
Great
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