The Data Warehouse Toolkit 3rd Edition Pdf Free Download

The biggest problem with The Data Warehouse Toolkit is that it is organised in terms of use cases, not ideas. What this means is that the first substantive chapter in the book is about retail sales, the next one about inventory, the next on procurement, and so on, each chapter examining a new business activity, and introducing one or more new data modeling ideas within the context of the business problem to be solved.

The authors likely thought that this was a comprehensive, lively format, since any new idea was presented within the appropriate real world context. But instead, the format makes the book that much harder to read, since each chapter has to introduce a new business domain, along with a few thousand words of exposition just to set up the problems and challenges that are unique to each use case. This means that the data modeling ideas themselves are often buried deep in the chapter. This made it all incredibly tiring to read.

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In the years since The Data Warehouse Toolkit was published, other data modeling practitioners have worked to improve on the original by publishing shorter, more concise books. These newer, shorter books did the more common thing of listing the ideas chapter by chapter, and included case studies and examples only after introducing the data modeling idea.

It was published in 2013 so is it still valid or outdated? Are there any books about the same topic but more recent? I believe analytics and data technology have evolved quite much in the last 8 years. I just want to be sure before diving into this book.

RALPH KIMBALL, PhD, has been a leading visionary in the data warehouse and business intelligence industry since 1982. The Data Warehouse Toolkit book series have been bestsellers since 1996.

MARGY ROSS is President of the Kimball Group and the coauthor of five Toolkit books with Ralph Kimball. She has focused exclusively on data warehousing and business intelligence for more than 30 years.

It does make reference to the 1st edition and mention how some practises have been made obsolete by technology advances. For example, when the 1st edition was written disk space and processor capacity was significantly less than they are today so aggregating data was a necessary evil. Today technology allows us to avoid unnecessary aggregation.

The data warehouse should be seen (and accepted) as a repository of truth. The end users may not like what the truth reveals but they should have no issue with it being the truth. All reports built on top of the data warehouse are reports built on that truth.

It has to be done though. If you don't succeed with this then when the data warehouse reveals an unpalatable truth people will argue about the figures themselves rather than what the figures are telling them.

Training is vital and the book goes as far as to recommend a "no education no access" policy with the full backing of the business sponsor. There is no point blowing the data warehousing budget on technology and processes if the business users cannot use the system.

How many of you have been on training courses well ahead of you actually having access to the thing you are being trained on? The book explicitly states that the end users need access to the data warehouse and tools as soon as they have been trained.

One of the key decisions in the data warehouse is the granularity of the facts. You may decide that you want to look at sales at the order level. That is fine, but if you decide later that you want to go down to the line-item level and you have aggregated all your source data up to the order level then you are stuck.

The author stresses that any space saving in normalising out the dimensions is relatively trivial compared to sheer size of the fact tables. What you gain in space you lose in ease of understanding and ease of understanding is a key factor in getting the data warehouse accepted.

One off the cuff comment in the book was that if the schemas in the Presentation Area look boringly similar then a major goal has been achieved. The aim of making the data warehouse easy to use and understand.

Ralph Kimball introduced the industry to the techniques of dimensional modeling in the first edition of The Data Warehouse Toolkit (1996). Since then, dimensional modeling has become the most widely accepted approach for presenting information in data warehouse and business intelligence (DW/BI) systems. The Data Warehouse Toolkit is recognized as the definitive source for dimensional modeling techniques, patterns, and best practices.

This third edition of the classic reference delivers the most comprehensive library of dimensional modeling techniques ever assembled. Fully updated with fresh insights and best practices, this book provides clear guidelines for designing dimensional models--and does so in a style that serves the needs of those new to data warehousing as well as experienced professionals.

This revised and updated edition of the bestseller provides a complete library of dimensional modeling techniques, the most comprehensive collection ever written. New coverage features specific technologies for common business applications, including retail sales, inventory management, procurement, orders and invoices, customer relationship management, and accounting. Later chapters covers more advanced techniques for specific industries, including financial services, telecommunication and utilities, health care, insurance, and more. This text provides the benchmark reference for both novice and experienced data warehouse professionals.

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.

Ralph Kimball (born July 18, 1944[1]) is an author on the subject of data warehousing and business intelligence. He is one of the original architects of data warehousing and is known for long-term convictions that data warehouses must be designed to be understandable and fast.[2][3] His bottom-up methodology, also known as dimensional modeling or the Kimball methodology, is one of the two main data warehousing methodologies alongside Bill Inmon.[2][3]

Kimball founded Red Brick Systems in 1986, serving as CEO until 1992. The company was acquired by Informix, which is now owned by IBM.[6] Red Brick was known for its relational database optimized for data warehousing. Their claim to fame was the use of bit-map Indexes in order to achieve performance gains that amounted to almost 10 times that of other Database vendors at that time.

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:

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.

Margy Ross co-authored the best-selling books on dimensional data warehousing and business intelligence with Ralph Kimball. The Kimball Toolkit books are recognized for their specific, practical data warehouse and business intelligence techniques and recommendations. Over 450,000 copies have been sold worldwide.

The Microsoft Data Warehouse Toolkit, Second Edition provides you with the knowledge of how and when to use BI tools such as Analysis Services and Integration Services to accomplish your most essential data warehousing tasks. 2351a5e196