---
product_id: 1704284
title: "The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling"
price: "A$67"
currency: AUD
in_stock: true
reviews_count: 13
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store_origin: AU
region: Australia
---

# The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling

**Price:** A$67
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- **What is this?** The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling
- **How much does it cost?** A$67 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.com.au](https://www.desertcart.com.au/products/1704284-the-data-warehouse-toolkit-the-definitive-guide-to-dimensional-modeling)

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## Description

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 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 .

Review: Great intro/crash course on EDW theory & practice - I'm the "tech guy" for a startup -- we need something done/built, but don't have anyone who knows how to do it? Yep, that means I'll be doing it... Knowing *nothing* about dimensional modeling, I was asked to lead the team that's now building our data warehouse. This book (described as "the book on EDW" by the one exec at the company who's done this before) didn't make me an expert or anything, but it provided a solid foundation of the high-level concepts and some of the major low-level issues that only come up when you're actually trying to build and maintain a data warehouse. Put another way, it didn't answer all my questions, but I was at least asking the right questions after going through it. (Ex: "Should we handle this as an SCD-Type 1 or -Type 2 dimension?"*, rather than "Wait, what's an SCD?") I now spend most of my day talking and thinking about data warehouses, and I still find myself reaching for this book on a weekly basis. Take some time to read it through all the way, then keep it nearby, since it's a helpful reference guide for major concepts. (But not for any specific platform or vendor. If you want something specific to SSIS, for example, get another book. Better yet, get this one AND another book!) If you're looking for more ETL-specific information, there's another book by Ralph Kimball (and a different co-author. Joe Caserta) called "The Data Warehouse ETL Toolkit"). It's useful, but not nearly as useful as this one. *Answer: neither, and both. We actually ended up using a Type 6 approach!
Review: Gold Standard - This is one of the best technical books I've read on any subject. The author doesn't waste any time on tedious introductions, but jumps right into the meat of the topic, which is something I appreciate. The book spends a reasonable amount of time on theory, then dives into a bunch of case studies showing how to apply the theory to common scenarios. This is good instructional technique. The authors are opinionated, but in a good way. They express views on how things ought to be done, based on long experience, and this helps moves the novice along the learning curve. I've seen a few critiques in other reviews that the authors are repetitive or make a big deal out of obvious things. This actually is good instructional technique; if you want to shape the behavior of a student, you need to repeat things over and over, because no one gets it the first time. As for what is obvious or not, that varies among students. Even when a practice is obvious to a particular student, it doesn't mean that he will actually conform to that practice in real life. People are often lazy and undisciplined, and don't do the things they were taught in kindergarten. It never hurts to reinforce the obvious.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #28,496 in Books ( See Top 100 in Books ) #1 in Database Storage & Design #3 in Data Warehousing (Books) #38 in Networking & Cloud Computing |
| Customer Reviews | 4.7 out of 5 stars 767 Reviews |

## Images

![The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling - Image 1](https://m.media-amazon.com/images/I/81f7lldF2lL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Great intro/crash course on EDW theory & practice
*by M***. on July 16, 2015*

I'm the "tech guy" for a startup -- we need something done/built, but don't have anyone who knows how to do it? Yep, that means I'll be doing it... Knowing *nothing* about dimensional modeling, I was asked to lead the team that's now building our data warehouse. This book (described as "the book on EDW" by the one exec at the company who's done this before) didn't make me an expert or anything, but it provided a solid foundation of the high-level concepts and some of the major low-level issues that only come up when you're actually trying to build and maintain a data warehouse. Put another way, it didn't answer all my questions, but I was at least asking the right questions after going through it. (Ex: "Should we handle this as an SCD-Type 1 or -Type 2 dimension?"*, rather than "Wait, what's an SCD?") I now spend most of my day talking and thinking about data warehouses, and I still find myself reaching for this book on a weekly basis. Take some time to read it through all the way, then keep it nearby, since it's a helpful reference guide for major concepts. (But not for any specific platform or vendor. If you want something specific to SSIS, for example, get another book. Better yet, get this one AND another book!) If you're looking for more ETL-specific information, there's another book by Ralph Kimball (and a different co-author. Joe Caserta) called "The Data Warehouse ETL Toolkit"). It's useful, but not nearly as useful as this one. *Answer: neither, and both. We actually ended up using a Type 6 approach!

### ⭐⭐⭐⭐⭐ Gold Standard
*by N***R on June 18, 2015*

This is one of the best technical books I've read on any subject. The author doesn't waste any time on tedious introductions, but jumps right into the meat of the topic, which is something I appreciate. The book spends a reasonable amount of time on theory, then dives into a bunch of case studies showing how to apply the theory to common scenarios. This is good instructional technique. The authors are opinionated, but in a good way. They express views on how things ought to be done, based on long experience, and this helps moves the novice along the learning curve. I've seen a few critiques in other reviews that the authors are repetitive or make a big deal out of obvious things. This actually is good instructional technique; if you want to shape the behavior of a student, you need to repeat things over and over, because no one gets it the first time. As for what is obvious or not, that varies among students. Even when a practice is obvious to a particular student, it doesn't mean that he will actually conform to that practice in real life. People are often lazy and undisciplined, and don't do the things they were taught in kindergarten. It never hurts to reinforce the obvious.

### ⭐⭐⭐⭐⭐ A must for Data Analyst practitioners
*by B***L on August 8, 2023*

Great book that captures a history that is often overlooked about data dimension modeling. Especially, the terms mentioned early in the book that help place context and perspective for many past projects that I have worked on. Thank you.

## Frequently Bought Together

- The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling
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*Last updated: 2026-05-16*