- Taschenbuch: 625 Seiten
- Verlag: Microsoft Press Corp.; Auflage: 1 (7. August 2012)
- Sprache: Englisch
- ISBN-10: 0735658188
- ISBN-13: 978-0735658189
- Größe und/oder Gewicht: 18,5 x 3,8 x 22,4 cm
- Durchschnittliche Kundenbewertung: Schreiben Sie die erste Bewertung
- Amazon Bestseller-Rang: Nr. 180.049 in Fremdsprachige Bücher (Siehe Top 100 in Fremdsprachige Bücher)
Microsoft SQL Server 2012 Analysis Services (Englisch) Taschenbuch – 7. August 2012
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Über den Autor und weitere Mitwirkende
Alberto Ferrari is a Business Intelligence consultant whose two main interests are in a methodological approach to the BI development lifecycle, and performance tuning of ETL and SQL code. His activities are related to designing and implementing solutions based on Integration Services and Analysis Services for the financial, manufacturing and statistical areas. He is also a book author and a speaker in international conferences such as PASS Summit, SQLRally and SQLBits. Alberto holds an SSAS Maestro certification.
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The knowledge-base of the authors is outstanding...no surprise there.
The depth of the content is outstanding...again no surprise.
The how-to exercises are well-written and very readable.
The sample data is well organized and well documented.
It has all the makings of a five star book and may very well end up being the quintessential read on tabular.
I work with SQL Server 2012 and am eager to learn more about the tabular model. When I saw this book on Amazon, I bought it immediately and am so grateful that I did. I have many technical books that sit on shelves collecting dust; this book is definitely not one of them. After only a few weeks the book is already showing wear from use and I haven't put it on the shelf yet. I have read it cover-to-cover and plan to do so again - it is truly that good.
There are so many great aspects to this book I don't know where to begin. I can say that it does an excellent job not only covering the basics but also many advanced topics as well.
A few of my favorite topics/chapters are listed below:
◾The chapters on DAX are especially helpful, they provide an excellent overview of the language including advanced topics that I haven't found in other sources. The book also contains a chapter on DAX time intelligence functions which I found quite useful.
◾The `Building Hierarchies' chapter is excellent as well. It goes beyond the basics, covering more complex scenarios such as parent/child hierarchies and unary operators.
◾The chapter `Data Modeling in Tabular' provides a very thorough overview of common dimensional modeling topics (Type 1 and Type 2 SCDs, degenerate dimensions, junk dimensions and snapshot fact tables) and implementation best practices in the tabular model.
◾`Using Advanced Tabular Relationships' is my favorite chapter. This chapter provides examples using the DAX language to implement more complex scenarios/relationships. A few topics covered are Multicolumn Relationships (in a tabular cube a relationship can be set with one column only, but the authors provide examples that work around this limitation), Banding (grouping attribute values), Many-to-Many relationships, Basket Analysis and Currency Conversion.
◾The chapters on Security and Deployment/Processing are also well-written and very thorough. They cover many scenarios in detail.
The authors do a great job comparing the Multidimensional and Tabular technologies; They discuss the pros and cons of both models as well as reasons you may choose one over the other. In addition, the authors often demonstrate multiple ways to solve a given problem and discuss the advantages/disadvantages of each implementation. They provide excellent overviews of performance analysis and troubleshooting and warn the readers of things to avoid.
I highly recommend this book to anyone who wants to expand their knowledge of the SQL Server Analysis Services 2012 tabular model. This book will not disappoint. It is a worthwhile addition to any MS Business Intelligence practitioners library.
This is essential reading for any BI/DW developer and anyone learning the DAX language.