Expert Cube Development with SQL Server Analysis Services 2012 Multidimensional Models

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Overview

An easy-to-follow guide full of hands on examples of real-world Analysis Services cube development tasks. Each topic is explained and placed in context, and for the more inquisitive reader, there also more in-depth details of the concepts used.

If you are an Analysis Services cube designer wishing to learn more advanced topic and best practices for cube design, this book is for you.You are expected to have ...

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Overview

An easy-to-follow guide full of hands on examples of real-world Analysis Services cube development tasks. Each topic is explained and placed in context, and for the more inquisitive reader, there also more in-depth details of the concepts used.

If you are an Analysis Services cube designer wishing to learn more advanced topic and best practices for cube design, this book is for you.You are expected to have some prior experience with Analysis Services cube development.

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Product Details

  • ISBN-13: 9781849689908
  • Publisher: Packt Publishing
  • Publication date: 1/14/2014
  • Pages: 402
  • Sales rank: 1464834
  • Product dimensions: 7.50 (w) x 9.25 (h) x 0.82 (d)

Meet the Author

Alberto Ferrari is a consultant and trainer for the BI development area with the Microsoft suite for Business Intelligence. His main interests are in the methodological approaches to BI development and he works as a trainer for software houses that need to design complex BI solutions.

He is a founder, with Marco Russo, of the site www.sqlbi.com, where they publish whitepapers and articles about SQL Server technology. He co-authored the "SqlBI Methodology", which can be found on the SqlBI site.

Marco Russo is a consultant and trainer in software development based in Italy, focusing on development for Microsoft Windows operating systems. He's involved in several Business Intelligence projects, including those of relational and multidimensional warehouse design, with particular experience in sectors like banking and financial services, manufacturing and commercial distribution.

He previously wrote several books about .NET and recently co-authored "Introducing Microsoft LINQ" and "Programming Microsoft LINQ", both published by Microsoft Press. He also wrote "The many-to-many revolution", a mini-book about many-to-many dimension relationships in Analysis Services, and co-authored the "SQLBI Methodology" with Alberto Ferrari. Marco is a founder of SQLBI (http://www.sqlbi.com) and his blog is available at http://sqlblog.com/blogs/marco_russo.

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  • Anonymous

    Posted Wed Mar 26 00:00:00 EDT 2014

    This book is a must read if you are looking for some useful and

    This book is a must read if you are looking for some useful and practical information in your SSAS Multidimensional models. But it must be noted that this is not an introduction into SSAS Multidimensional modelling, rather practical real world examples.
    I found that the book is a wealth of information that can be applied to your working environment. There are a lot of real world examples that I have had a look at and made me check and update my SSAS Multidimensional models so that they can be that much faster and quicker. 
    It is also a great reference book, for when you are looking for a specific issue, where you can find the requirement and how to solve your particular issue.
    I also really enjoyed the book, because it got straight into the requirement and then explained how to potentially solve or improve your requirement. Along with this I found that it was great where they applied their working experience in what they encountered and how they overcome an issue.
    It is written by the guys who I consider to be some of the leaders in SSAS Multidimensional modelling. And you can see by the context of the detail in the book, as well as their examples that this happens often in the working environment, and how to get the best performance from your SSAS Multidimensional models.
    A great read and I would recommend this book to anyone who is looking for a wealth of information as well as some great insight into the inner workings of SSAS Multidimensional models.

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