This leads to clear identification of business concepts and avoids data update anomalies. “Ralph Kimball Data Warehouse Architecture”. Updated new edition of Ralph Kimball’s groundbreaking book on dimensional modeling for data warehousing and business intelligence! The first edition of. Greatly expanded to cover both basic and advanced techniques for optimizing data warehouse design, this second edition to Ralph Kimball’s classic guide is.

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I didn’t go for the five stars because the style if the book is a bit boring. This book is written in a very approachable and readable style. Related Posts Grid Computing and the Enterprise: Feb 14, Martin Ridgway rated it it was ok Shelves: We are living in the age of a data revolution, and more corporations are realizing that to lead—or in some cases, to survive—they need to harness their data wealth effectively. While most ealph these chapters start from scratch, chapter 10 offers a slightly different perspective by providing an opportunity to review and critique a proposed dimensional model as if stepping into an in-process data modelling exercise.

Buy it to learn how experts design data warehouses. This ensures that one thing or concept is used the same way across the facts. There are no discussion topics on this book yet.

Data Warehousing Concepts

The brief description of hybrid approach was quiet helpful. You can change your cookie settings as described here at any time, but parts of our site may not function correctly without them. Aug 24, Luca rated it really liked it Shelves: ZenTut Programming Made Easy. This ensures that the integrity and consistency of data is kept intact across the organization. This leads to clear identification of business concepts and avoids data update anomalies.


I know a new edition has been published since I read it.

Data Warehousing Concepts

This model identifies the key subject areas, and most importantly, the key entities the business operates with and cares warehusing, like customer, product, vendor, etc. This section explains the problem, and describes the three ways of handling this problem with examples.

Now that we have seen the pros and warehousingg of the Kimball and Inmon approaches, a question arises. The same technical points get made again and again whilst new ideas are dropped in in an unstructured way as needed in say chapter This book describes a principled and pragmatic approach to the organisation of data warehouses using the Kimball Methodology.

Jan 17, Ira Burton rated it did not like it Shelves: I do not agree with a star schema in all scenarios. Feb 15, Dan rated it liked it. Heck, steal it for all I care! I am looking for case studies of practical, real world implementations of 3NF physical table structures for atomic data warehouses a la Inmon CIF.

Mister rated it really liked it Sep 25, Very numeric fact driven though and as Data Warehouses store more textual style facts some of the principles kkmball to be put in context. GBI is a fake company used worldwide the full case can be found online. Jan 23, Louis Marier rated it it was amazing.

The key distinction is how the data structures are modeled, loaded, and stored in the data warehouse. But it would be great as a reference book. Neil rated it really liked it May 19, If anyone has references or links to case studies of successful 3NF atomic data warehouse deployments, please share.

The key point here is that the entity structure is built in normalized form. This is a classic. Select the business process.


Jan 06, Christophe Addinquy rated it it was ok. GBI are a world class bike company with employees. The data warehouse, due to its unique proposition as the integrated enterprise repository of data, is playing an even more important role in this situation.

The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling by Ralph Kimball

It’s a book that takes a few weeks to read, a few months to understand the concepts, and probably a few years to encounter the problems described and apply t The perfect book.

While the chapters of case studies for different industries begin to seem redundant after this first few, tucked into the final chapters are more gems: Must read if you’re interested in the topic. This was an editing error that I did not catch. Thank you for being a reader.

I would have liked if there were more diagrams and “try it yourself” examples in the book. Conceptual, Logical, and Conceprs Data Model: Want to Read saving…. They both view the data warehouse as the central data repository for the enterprise, primarily serve enterprise reporting needs, and they both use ETL to load the data warehouse. A completely trivial and useless book, unless you are looking for thwareohusing view of the topic of data warehousing.

Jan 23, Bryan rated it really liked it. The key sources operational systems of data for the data warehouse are analyzed and documented. Dimensional modeling has become the most widely accepted approach for data warehouse design.