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Extreme DAX
Extreme DAX

Extreme DAX: Take your Power BI and Microsoft data analytics skills to the next level

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Profile Icon Michiel Rozema Profile Icon Henk Vlootman
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AU$67.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.9 (44 Ratings)
Paperback Jan 2022 470 pages 1st Edition
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AU$14.99 AU$53.99
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Arrow left icon
Profile Icon Michiel Rozema Profile Icon Henk Vlootman
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AU$67.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.9 (44 Ratings)
Paperback Jan 2022 470 pages 1st Edition
eBook
AU$14.99 AU$53.99
Paperback
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Free Trial
Renews at AU$24.99p/m
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Renews at AU$24.99p/m

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Extreme DAX

DAX in Business Intelligence

Without a doubt, information is nowadays one of the most valuable assets of any organization. We all know this as consumers: companies are lining up to get our personal data. Not because any of us are so interesting individually (though we're sure you are a very interesting person!), but the combination of data from many consumers enables companies to get valuable insights to drive their business forward.

This is not only true for commercial companies. Public institutions, hospitals, and universities also benefit from information to better run their core processes. In any case, information is the foundation of progress and innovation.

But getting from data to information to insights can be a tedious process. It involves combining data from different sources, discovering hidden structures and correlations, and considering the context of data. This is why the field of business intelligence, or data analytics, has traditionally been exclusive...

The Five-Layer model for business intelligence

To be able to discuss analytics in a structured and comprehensive way, we have developed a simple framework that describes the main components and responsibilities in an analytics solution. We have given it an equally simple name: the Five-Layer model.

Figure 1.1: The Five-Layer model

The first and lowest layer, Connect, is the starting point of analytics: if you want to analyze data, those data must come from somewhere. They could reside in Excel sheets, text files, large business databases, or somewhere on the Internet.

These raw data aren't typically in the right format to be able to analyze, especially when they come from different sources. Therefore, you need to Prepare your data. Preparation can take many forms, like imposing certain data types, transforming data, building data history, or matching data based on key attributes.

Creating nice and clean datasets in the Connect and Prepare layers can take...

Enterprise BI and end-user BI

Organizations are becoming ever more data-driven. An organization that assesses performance on key performance indicators, or KPIs, uses dashboards reflecting the status for each KPI. These dashboards are typically highly standardized: the organization has reflected on the business strategy, business processes, how to measure the KPIs, and how to report on them. An automated dashboard with KPIs is relatively stable and will not change much, and is typically built and maintained by a central IT department or BI competence center.

The next level of being a data-driven organization is that every decision taken can be based on insights from relevant data. This means that the need for a more dynamic form of analytics arises, one that can answer ad hoc questions. This form of analytics is marketed as self-service BI and promises that everyone can build a BI solution without the help of a central IT department. From the Five-Layer model, it is clear...

Where DAX fits in, and where to find it

In an analytics solution based on the Microsoft platform, DAX is used in the Analyze layer. DAX lives inside analytical models as the formula language to define calculations and other logic. In fact, models and DAX are really two sides of the same coin: the design of the model impacts the complexity of the DAX code, and your skills in DAX determine your model designs (we will elaborate on the core concepts of data models in Chapter 1.2, Model Design).

The power of DAX is in its strong data aggregation capabilities. The DAX language contains many functions and constructs for defining a variety of aggregations to generate results that lead to the insights needed. In the past, many types of aggregations could not be created directly but had to be implemented through specifically preparing data. For instance, computing a year-to-date sales total can be done in DAX with a single function, while in Excel or traditional reporting tools, separate...

Tools to develop models and DAX

You have multiple options to choose from as your tool to work with DAX, depending on the target platform for the model:

  • For a Power Pivot model, you use Excel with the Power Pivot add-on.
  • For a Power BI dataset, you use Power BI Desktop.

    It is interesting to note that there are in fact three versions of Power BI Desktop. One can be downloaded from the Power BI website, powerbi.com. The second is installed from the Windows Store and is automatically updated just like any other app from the store. When you realize that Power BI Desktop gets a new release nearly every month, these automatic updates are a real plus, although it can sometimes be annoying when a new release changes things you do not expect. If you want to, you can install both versions on the same computer. The third version of Power BI Desktop, which can be downloaded from the Power BI website as well, is a special edition for use with Power BI Report Server.

    ...

Powered by DAX: visual, interactive reports

In discussing the Five-Layer model, we already briefly touched upon the importance of visual reporting. But effective visual reporting is only possible through the power of DAX-based models.

Creating visual output is paramount to generating real insights versus a lot of information only. Just take the example below:

Figure 1.3: Some sales data in a table visual

Can you spot the problem or opportunity this company has? If so, you are very good at numbers! Most people, though, are much more visually inclined. The picture below provides the same insight in a visual way:

Figure 1.4: The same sales data presented more visually

It is obvious now that one of the SKUs is doing significantly better than the others. That is an interesting and valuable insight: if we can make the other SKUs reach the same performance, the overall results of the company will dramatically improve. This insight also leads to something else...

How to approach solution development

Power BI models and DAX enable a different way to develop BI solutions with much deeper involvement from businesspeople. This leads to solutions that deliver insights that optimally add value to the business.

The traditional, IT-centric way to create BI solutions is to start with connecting to data sources and preparing data. At first glance, this sounds like the right thing to do; after all, we need good data to have good and valuable insights.

Figure 1.6: The traditional BI solution development approach

This approach is typically materialized in the development of an enterprise data warehouse. The idea behind having a data warehouse is to store all of the organization's data in a single place, and to use that as the foundation for all reporting.

It should be clear that this can be a major undertaking, as organizations have many different systems, with lots of different data in them. The data warehouse is traditionally...

The digital transformation cycle

So far, we have focused on what is needed to go from "raw" data to insights, and the role of DAX-powered Power BI models in this process. We have seen that business value does not come from merely connecting and preparing data, but that it is the insights from visual, interactive reports that provide value.

However, no organization will get better from just staring at nice-looking reports. What really matters, of course, is what you do with the insights. In other words: you need to take action to reap the benefits of a BI solution. You will also want to measure the effects of these actions, either in an automated way or by letting users enter feedback into some kind of system. The result of that is, again, data.

This leads to a cycle of digital transformation, or data-driven business improvement:

Figure 1.8: The digital transformation cycle

While Power BI shines in the process of going from data to insights, it is not...

Summary

In this chapter, we discussed the field of business intelligence and the central role of analytical models in modern BI solutions. Power BI models are ideally suited for use as such models, not least because of the power of DAX.

You have learned about two capabilities of DAX that have a profound impact on the way BI solutions can be designed and developed:

  • DAX enables sophisticated calculations for a variety of aggregations of data; aggregations that, in the past, needed a lot of preparation of customized data. Therefore, DAX allows for shifting the focus from data (with all the tedious work involved) to the logic to generate business insights.
  • DAX as a language is set up in a way that allows businesspeople who are mostly familiar with Excel to work on the BI solution themselves, to varying degrees. This means that much more alignment with business priorities can be achieved.

As Power BI models and DAX are two sides of the same coin, it is important...

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Key benefits

  • Solve complex business problems within Microsoft BI tools including Power BI, SQL Server, and Excel
  • Develop a conceptual understanding of critical business data modeling principles
  • Learn the subtleties of Power BI data visualizations, evaluation context, context transition, and filtering

Description

This book helps business analysts generate powerful and sophisticated analyses from their data using DAX and get the most out of Microsoft Business Intelligence tools. Extreme DAX will first teach you the principles of business intelligence, good model design, and how DAX fits into it all. Then, you’ll launch into detailed examples of DAX in real-world business scenarios such as inventory calculations, forecasting, intercompany business, and data security. At each step, senior DAX experts will walk you through the subtleties involved in working with Power BI models and common mistakes to look out for as you build advanced data aggregations. You’ll deepen your understanding of DAX functions, filters, and measures, and how and when they can be used to derive effective insights. You’ll also be provided with PBIX files for each chapter, so that you can follow along and explore in your own time.

Who is this book for?

Extreme DAX is written for analysts with a working knowledge of DAX in Power BI or other Microsoft analytics tools. It will help you upgrade your knowledge and work with analytical models more effectively, so you’ll need practical experience with DAX before you can get started.

What you will learn

  • Understand data modeling concepts and structures before you start working with DAX
  • Grasp how relationships in Power BI models are different from those in RDBMSes
  • Secure aggregation levels, attributes, and hierarchies using PATH functions and row-level security
  • Get to grips with the crucial concept of context
  • Apply advanced context and filtering functions including TREATAS, GENERATE, and SUMMARIZE
  • Explore dynamically changing visualizations with helper tables and dynamic labels and axes
  • Work with week-based calendars and understand standard time-intelligence
  • Evaluate investments intelligently with the XNPV and XIRR financial DAX functions
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Length: 470 pages
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Table of Contents

16 Chapters
Part I: Introduction Chevron down icon Chevron up icon
1.1 DAX in Business Intelligence Chevron down icon Chevron up icon
1.2 Model Design Chevron down icon Chevron up icon
1.3 Using DAX Chevron down icon Chevron up icon
1.4 Context and Filtering Chevron down icon Chevron up icon
Part II: Business cases Chevron down icon Chevron up icon
2.1 Security with DAX Chevron down icon Chevron up icon
2.2 Dynamically Changing Visualizations Chevron down icon Chevron up icon
2.3 Alternative Calendars Chevron down icon Chevron up icon
2.4 Working with AutoExist Chevron down icon Chevron up icon
2.5 Intercompany Business Chevron down icon Chevron up icon
2.6 Exploring the Future: Forecasting and Future Values Chevron down icon Chevron up icon
2.7 Inventory Analysis Chevron down icon Chevron up icon
2.8 Personnel Planning Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon

Customer reviews

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Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.9
(44 Ratings)
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Kais Nov 29, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Extreme DAX, reveals the full potential of the DAX language's features, and it's an exhilarating journey. I'm looking forward to the second edition, which will certainly bring additional tools, such as 𝗙𝗶𝗲𝗹𝗱𝘀 𝗽𝗮𝗿𝗮𝗺𝗲𝘁𝗲𝗿𝘀, that promise to extend the Scope of DAX even further. This is an absolute essential resource for BI Developers && BI Analysts, enabling the use of advanced DAX techniques to perform in-depth data analysis.
Amazon Verified review Amazon
Mark Feb 20, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Extreme DAX is the perspective of two well experienced and respected Power BI experts who have been consulting in the field for a long time. The book focuses on best practices for Power BI modeling and how the power of DAX can best be utilized. As such, the book is ideally for those who have some experience with Power BI and DAX.I like how the authors start out discussing where and how Power BI and DAX fits into modern business intelligence solutions. In my own experience in the field, I have in some cases used too much DAX and other cases not enough. This is where I found the first few chapters to be very useful in helping me understand how to strike a good balance while maintain best practices.Before touching on any DAX coding, Henk and Michiel tackle the topic of effective model design and some of the typical challenges that tend to come up in Power BI data modeling. I found it to be very refreshing that they decided to deal with such an important part of building effective reports in Power BI.
Amazon Verified review Amazon
Chris Morath, President, Data Driven Decisions LLC Feb 23, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I was fortunate enough to receive a no cost digital copy of this book. It is so expansive there is still more to read. I have found the Packt publishing group to turn out some good material from solid experts in analytics. I did purchase a hard copy of their Power BI Cookbook 2nd edition.
Amazon Verified review Amazon
Maria Malmquist Feb 07, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book is what the title suggests, extreme. This is a great addition to your library assuming you have already learned the basics of Dax and powerpivot/power bi. The book illuminates situations where some BI experts may revert to SQL and encourages a more elegant DAX solution instead. Some of the material might not be immediately relevant to most reporting use cases, but going through the book will definitely give some ideas and open up more possibilities. It’s definitely a worthwhile supplement to an analyst’s reference library.
Amazon Verified review Amazon
Patch W Jan 24, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I was supplied with an early review copy.I found the book to be well written and easy to follow. It has content that addresses all the major elements of DAX; modelling, security, calculations, visualisations and performance. It's content on performance is the first I've read that really helped me understand some of the real life issues I've come across.This isn't a book for beginners, nor is it a book that will teach you how to present your data to the boardroom. It is a book that will help you understand what DAX is and how to make it do what you need.
Amazon Verified review Amazon
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