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on 23 June 2014
This is a long overdue reincarnation of Kimball's earlier 2nd edition. This edition continues with same format (the reading at places can be boring).

The new additions which are worth mention is that inclusion of chapters where Kimball actually advocated usage of hybrid approach (Inmon & Kimball together) and where he explained end to end project management phases of a large BI/DWH programs.

There were some verbose chapters on ETL technology as well.

There was a chapter on Big Data but it felt like an afterthough only to be mentioned in blurb. The book does not cover how data modelling differs in Big Data world. Technically it does cover, but not with examples as main part of book was written for RDBMS world.

May be that will happen in 4th edition of the book!
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on 16 February 2014
Back in the day, this was one of my most-referenced references.

If you work exclusively in relational data warehouses, such as Oracle RDBMS, then it's indispensable. It is still brilliant, and if you want to be a serious BI practitioner, you need to /know/ this text back to front. You need to know it *today*.

But times have moved on. I haven't built a presentation layer for seven years that was based on a /relational/ data warehouse. I still build 'em; it's just that they're only feeders for multidimensional hypercubes.

Back in 2002 I used Analysis Services to build a hypercube with 100 million sales and stock facts for a big retailer. It had a couple of seconds response time. Three years later we were writing sophisticated predictive analytics with multidimensional extensions (MDX).

There's no mention of this in the book. Solid on ETL, great on some industry-standard structures (but see stuff by Len Silverston et al), there's no question any aspiring BI person needs to know everything in here. But it's not enough.

I want to see this book updated to describe how to create a physical non-indexed DW as a feeder for a hypercube. I want to see the power and speed advantages of hypercubes described. I want to hear about the dramatic improvements in the presentation layer possible through the use of MDX. I want to hear about the security and /organisational/ issues involved in allowing reporting developers access to the presentation layer.

In short, as a new edition, this seems to fall a bit short. Still recommended, but . . .
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on 18 December 2013
This book can take you from having no idea about how to implement a data warehouse to having a complete data model implemented that will support your business users needs.

The book includes some introductory details about the planning and management of your data warehouse/business intelligence project and also about the ETL process to populate your model - but you will need to read other books to complete your knowledge on those subjects.
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on 15 April 2016
This was recommended to me as a must read and the de facto bible for data warehousing projects. Maybe I expected to much after the enthusiastic recommendation but I found the book an absolute bore with very little useful information. There is little depth to actual concrete process, technical designs or even guidance with too many references to their other books or website. Quite frankly, you could probably summarise the key points on 2 to 3 pages but the author manages to string it out to a whopoping 600. Very disappointed.
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on 26 June 2016
Excellent reference book, useful examples and guidance,
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on 1 December 2015
Excellent for getting a firm grasp on Kimball methodologies however it can be quite hard to keep your attention with it long winded explanations
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on 7 December 2014
The go to book for datawarehousing.. Reads very well and each section has a bunch of relevant examples... Can't go wrong purchasing this...
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on 1 September 2014
i think is well explained, easy to understand, but i haven't finished yet
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on 23 September 2015
If you like learning by example then this will be a good book for you
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on 7 December 2015
never read this book but it looks good on my desk. 10/10
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