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The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling (Anglais) Broché – 25 avril 2002
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Dimensional modeling has become the most widely accepted approach for data warehouse design. Here is a complete library of dimensional modeling techniques–– the most comprehensive collection ever written. Greatly expanded to cover both basic and advanced techniques for optimizing data warehouse design, this second edition to Ralph Kimball′s classic guide is more than sixty percent updated.
The authors begin with fundamental design recommendations and gradually progress step–by–step through increasingly complex scenarios. Clear–cut guidelines for designing dimensional models are illustrated using real–world data warehouse case studies drawn from a variety of business application areas and industries, including:
∗ Retail sales and e–commerce
∗ Inventory management
∗ Order management
∗ Customer relationship management (CRM)
∗ Human resources management
∗ Financial services
∗ Telecommunications and utilities
∗ Health care and insurance
By the end of the book, you will have mastered the full range of powerful techniques for designing dimensional databases that are easy to understand and provide fast query response. You will also learn how to create an architected framework that integrates the distributed data warehouse using standardized dimensions and facts.
This book is also available as part of the Kimball′s Data Warehouse Toolkit Classics Box Set (ISBN: 9780470479575) with the following 3 books:
The Data Warehouse Toolkit, 2nd Edition (9780471200246)
The Data Warehouse Lifecycle Toolkit, 2nd Edition (9780470149775)
The Data Warehouse ETL Toolkit (9780764567575)
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Commentaires client les plus utiles sur Amazon.com
literally you could buy this book, go to a company and set up their data warehouse in a week. amazing book.
This book was perfect for me. I have data that I needed to analyze; I understood normalized relational databases and pivot tables; I'd heard the jargon such as "star schema" and "snowflake schema" but didn't know exactly what they meant. This book put all the concepts together and moved my level of understanding up to a new level. I am not building the data warehouse myself but now I can talk the talk with those who are.
I had been using pivot tables in Excel to do some analysis, but had been frustrated at times by not being able to get things to work out as I wanted. After reading this book, I understand why - it was because I had not organized the underlying data correctly. To anyone with a relation database background, the organization of data in a data mart or warehouse is very different and goes against one's instinct to normalize and eliminate redundant data. Getting past that was key to getting my data right, and that's what this book did for me.
However, if you are the person who will actually be building the data warehouse, you will need to go beyond this book to one that shows you how to actually do what you need. For example, this book does not go into "details" like ETL - how you actually get data into the warehouse from the transaction database - and the other practical details you will need to know. This book is also database and tool agnostic - those are all details that you will need to find elsewhere once you understand the concepts here.
My only quibble is that this book is quite pricey for what you get.