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Expert Data Modeling with Power BI, Second Edition

You're reading from   Expert Data Modeling with Power BI, Second Edition Enrich and optimize your data models to get the best out of Power BI for reporting and business needs

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Product type Paperback
Published in Apr 2023
Publisher Packt
ISBN-13 9781803246246
Length 698 pages
Edition 2nd Edition
Languages
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Author (1):
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Soheil Bakhshi Soheil Bakhshi
Author Profile Icon Soheil Bakhshi
Soheil Bakhshi
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Table of Contents (22) Chapters Close

Preface 1. Section I: Data Modeling in Power BI
2. Introduction to Data Modeling in Power BI FREE CHAPTER 3. Data Analysis eXpressions and Data Modeling 4. Section II: Data Preparation in Query Editor
5. Data Preparation in Power Query Editor 6. Getting Data from Various Sources 7. Common Data Preparation Steps 8. Star Schema Preparation in Power Query Editor 9. Data Preparation Common Best Practices 10. Section III: Data Modeling
11. Data Modeling Components 12. Star Schema and Data Modeling Common Best Practices 13. Section IV: Advanced Data Modeling
14. Advanced Data Modeling Techniques 15. Row-Level and Object-Level Security 16. Dealing with More Advanced Data Warehousing Concepts in Power BI 17. Introduction to Dataflows 18. DirectQuery Connections to Power BI Datasets and Analysis Services in Composite Models 19. New Options, Features, and DAX Functions 20. Other Books You May Enjoy
21. Index

Using calculation groups

Creating calculation groups is one of the most useful features for Power BI data modelers and developers. It reduces the number of measures you have to create. Calculation groups address the fact that we have to create many measures in larger and more complex data models that are somewhat redundant. Creating those measures takes a lot of development time. For instance, in a Sales data model, we can have Sales Amount as a base measure. In real-world scenarios, we usually have to create many time intelligence measures on top of the Sales Amount measure, such as Sales Amount YTD, Sales Amount QTD, Sales Amount MTD, Sales Amount LYTD, Sales Amount LQTD, Sales Amount LMTD, and so on. We have seen models with more than 20 time intelligence measures created on top of a single measure. In real-world scenarios, we have far more base measures than a business that requires all those 20 time intelligence measures for every single base measure. You can imagine how time...

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