- File Size: 145577 KB
- Print Length: 768 pages
- Simultaneous Device Usage: Up to 5 simultaneous devices, per publisher limits
- Publisher: Microsoft Press; 2 edition (July 2, 2019)
- Publication Date: July 2, 2019
- Sold by: Amazon.com Services LLC
- Language: English
- ASIN: B07TS4FPZM
- Text-to-Speech: Enabled
- Word Wise: Not Enabled
- Lending: Not Enabled
- Amazon Best Sellers Rank: #83,016 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
The Definitive Guide to DAX: Business intelligence for Microsoft Power BI, SQL Server Analysis Services, and Excel (Business Skills) 2nd Edition, Kindle Edition
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About the Author
Marco Russo and Alberto Ferrari are the founders of sqlbi.com, where they regularly publish articles about Microsoft Power BI, Power Pivot, DAX, and SQL Server Analysis Services. They have worked with DAX since the fi rst beta version of Power Pivot in 2009 and, during these years, sqlbi.com became one of the major sources for DAX articles and tutorials. Their courses, both in-person and online, are the major source of learning for many DAX enthusiasts.
They both provide consultancy and mentoring on business intelligence (BI) using Microsoft technologies. They have written several books and papers about Power BI, DAX, and Analysis Services. They constantly help the community of DAX users providing content for the websites daxpatterns.com, daxformatter.com, and dax.guide.
Marco and Alberto are also regular speakers at major international conferences, including Microsoft Ignite, PASS Summit, and SQLBits. Contact Marco at firstname.lastname@example.org, and contact Alberto at email@example.com
From the Author
As soon as we started updating the first chapter, we quickly discovered that we wanted to rewrite pretty much everything. We felt so not only in the first chapter, but at every page of the book. Therefore, this is not really a 2nd edition; it is a brand-new book.
The reason is not that the language or the tools have changed so drastically. The reason is that over these last few years we - as authors and teachers - have evolved a lot, hopefully for the better. We have taught DAX to thousands of users and developers all around the world, we have worked hard with our students, always striving for the best way to explain complex topics. Eventually, we did find different ways of describing the language we love.
We increased the number of examples, showing practical uses of the functionalities after teaching the theoretical foundation of DAX. We tried to use a simpler style, without compromising on precision. We fought with the editor to increase the page count, as this was needed to cover all the topics we wanted to share. Nevertheless, we did not change the leitmotif of the book: we assume no previous knowledge of DAX on the reader's part, even though this is not a book for the casual DAX developer. This is a book for people who really want to learn the language and gain a deep understanding of the power and complexity of DAX.
Yes, if you want to leverage the real power of DAX, you need to be prepared for a long journey with us... Reading the book from cover to cover, and then reading it again, searching for the many details that - at first sight - are not obvious.
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I feel very confident now after reading this book. I can visualize what is happening with my model and it has made writing Dax much easier. I'm not saying that I'm an expert or that it's easy now, but I know how it works and the functions that are available to me. If you really want to know what's happening, this is the book for you.
Top international reviews
There is a lot of material related to workarounds for some pretty obscure needs. For some reason the authors are obsessed with correctly calculating percentages of subgroups in tables and there are pages and pages on that throughout the book.
Perhaps the most frustrating part is that there is one chapter on basically "how to solve real-world problems with DAX" - for example, making sure your year-on-year comparisons are accurate, or honing your year-to-date analysis - but this is very short; I wish it had been the whole book.
Le stesse parti fondamentali spiegate allora, ora sono meglio precisate.
Questa edizione non è un “maquillage commerciale” ma, come spesso si dice, alza l’asticella.
Dato che alza l’asticella, vale ancora di più quanto premesso dagli autori e che ho evidenziato nella mia recensione del primo libro: è un libro da studiare e bisogna applicarsi con impegno.
Il tutto va integrato con il seguito costante del sito sqlbi.com degli autori e dei siti/blog collegati: è un’area di conoscenza che bisogna mantenere viva.
Con l’asticella più alta sarà un po’ più difficile da digerire per chi non segue l’argomento già da tempo.
Chi ha ben compreso il primo libro non avrà problemi, a patto di metterci ulteriore impegno.
Chi parte dal basso deve iniziare con altre letture, e non solo perché qui non c’è nulla sull’interfaccia dei software che “ospitano” DAX.
Però se il fine è un utilizzo non basico (che già può dare buone soddisfazioni) conviene – per avere la “forma mentis” giusta – fare il salto a questa guida senza attendere troppo.
Immagino che per certi sviluppi del linguaggio – “Calculation groups” e non solo – accennati in questa seconda edizione, prima o poi ne arriverà una terza, e non mancherò di acquistarla.
A little intimidating to read at the beginning since the book is quite thick, but it’s a pleasant reading and I’ve learnt so much from it to help me with my work as Reporting Analyst.