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Extreme DAX

You're reading from   Extreme DAX Take your Power BI and Microsoft data analytics skills to the next level

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Product type Paperback
Published in Jan 2022
Publisher Packt
ISBN-13 9781801078511
Length 470 pages
Edition 1st Edition
Languages
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Authors (2):
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Henk Vlootman Henk Vlootman
Author Profile Icon Henk Vlootman
Henk Vlootman
Michiel Rozema Michiel Rozema
Author Profile Icon Michiel Rozema
Michiel Rozema
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Toc

Table of Contents (17) Chapters Close

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

Effective model design

The concepts of relationships and filter propagation enable powerful analytics in Power BI models. It is important to think about the design of a model: which tables should the model contain, and which columns need to be in those tables? Which relationships are needed? In short, what is the overall structure of the model? The choices you make in model design will determine what results the model will be able to deliver.

Star schemas and snowflakes

A best practice for analytics using relational databases is to work with a specific database structure, known as a star schema. The basic ideas of star schemas apply to Power BI models as well.

Figure 1.2.12: Generic star schema structure

The central tables in a star schema model are the fact tables. These tables contain things that have happened, will happen, or should happen; like sales transactions, financial ledger transactions, customer inquiries, student enrollments, sales opportunities...

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