The Definitive Guide to DAX: Business intelligence with . Excel and DAX: Two functional languages. These ebooks are available in PDF,. EPUB, and Mobi. eBOOK Definitive Guide to DAX, The: Business intelligence with Microsoft Excel, SQL Server Analysis Services, and Power BI (Business Skills). this new guide to DAX, they truly created a milestone publication about the language .. PDF, EPUB, and Mobi for site formats, ready for you to download at.
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The Definitive Guide to DAX: Business intelligence with Microsoft Excel, SQL Server Analysis Read online, or download in secure PDF or secure EPUB format. $0™à§x„iÌ”E Wâ™\»_„iÌ”E xi E ™à _W}. %0\ü——x»——}º™\³€”E hWF\P xix Free Arabic Qu THE DEFINITIVE GUIDE TO WORKING WITH CHAKRAS. This comprehensive and authoritative guide will teach you the DAX language for business intelligence, data modeling, and analytics. Leading Microsoft BI.
To participate in a brief online survey, please visit: microsoft. The language you are going to learn using this book is our creature. We spent years working on this language, optimizing the engine, finding ways to improve the optimizer, and trying to build DAX into a simple, clean, and sound language to make your life as a data analyst easier and more productive.
But hey, this is intended to be the foreword of a book, no more words about us! Well, because when you start learning DAX, it is a matter of a few clicks and searches on the web before you find articles written by them. You start reading their papers, learning the language, and hopefully appreciate our hard work. When the DAX adventure started, they were among the first to learn and adopt this new engine and language.
[PDF] The Definitive Guide to DAX: Business intelligence with Microsoft Excel, SQL Server Analysis
The articles, papers, and blog posts they publish and share on the web became the source of learning for thousands of people.
We write the code, but we do not spend much time teaching how to use it; they are the ones who spread knowledge about DAX.
We write the code, they write the books, and you learn DAX, providing unprecedented analytical power to your business. This is what we love: working all together as a team—we, they, and you—to get better insights from data.
So why should we write and, hopefully, you read yet another book about DAX?
Is there really so much to learn about this language? Of course, we think the answer is definitely yes. When you write a book, the first thing that the editor wants to know is the number of pages. There are very good reasons why this is important: price, management, allocation of resources, and so on. At the end, nearly everything in a book goes back to the number of pages. As authors, this is somewhat frustrating.
The Definitive Guide to DAX
This always left us with the bitter taste of not having enough pages to describe all we wanted to teach about DAX. After all, you cannot write 1, pages about Power Pivot; a book of such a size would be intimidating for anybody.
Then we opened the drawer and decided to avoid choosing what to include in the next book: We wanted to explain everything about DAX, with no compromises. The result of that decision is this book. Here you will not find a description of how to create a calculated column, or which dialog box to use to set some property.
Instead, this is a deep dive into the DAX language, starting from the beginning and then reaching very technical details about how to optimize your code and model. We loved each page of this book while we were writing it.
We reviewed the content so many times that we had it memorized. We continued adding content whenever we thought there was something important to include, thus increasing the page count and never cutting something because there were no pages left. Doing that, we learned more about DAX and we enjoyed every moment spent doing it. But there is one more thing. Why should you read a book about DAX?
You are not alone, we thought the same the first time we tried it. DAX is so easy! It looks so similar to Excel! We made this mistake, and we would like you to avoid doing the same.
DAX is a strong language, used in a growing number of analytical tools. It is very powerful, but it has a few concepts that are hard to understand by inductive reasoning.
The evaluation context, for instance, is a topic that requires a deductive approach: You start with a theory, and then you see a few examples that demonstrate how the theory works.
Deductive reasoning is the approach of this book.
We know that a number of people do not like learning in this way, because they prefer a more practical approach, learning how to solve specific problems, and then with experience and practice, they understand the underlying theory with an inductive reasoning. This auction is almost over and you're currently the high bidder.
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Finally, always read any note to make sure there are no possible pitfalls in the code used in examples. Rob Collie. Ali Akbar. Book List price: This book has a different goal: to enable you to really master DAX. To participate in a brief online survey, please visit: microsoft.
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