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Microsoft Power BI Cookbook

You're reading from   Microsoft Power BI Cookbook Creating Business Intelligence Solutions of Analytical Data Models, Reports, and Dashboards

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Product type Paperback
Published in Sep 2017
Publisher Packt
ISBN-13 9781788290142
Length 802 pages
Edition 1st Edition
Languages
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Authors (2):
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Brett Powell Brett Powell
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Brett Powell
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Table of Contents (14) Chapters Close

Preface 1. Configuring Power BI Development Tools FREE CHAPTER 2. Accessing and Retrieving Data 3. Building a Power BI Data Model 4. Authoring Power BI Reports 5. Creating Power BI Dashboards 6. Getting Serious with Date Intelligence 7. Parameterizing Power BI Solutions 8. Implementing Dynamic User-Based Visibility in Power BI 9. Applying Advanced Analytics and Custom Visuals 10. Developing Solutions for System Monitoring and Administration 11. Enhancing and Optimizing Existing Power BI Solutions 12. Deploying and Distributing Power BI Content 13. Integrating Power BI with Other Applications

Simplifying date intelligence with DAX queries and calculated tables

In addition to the M query transformations described earlier in this chapter, DAX table functions can also be used in Power BI import mode models to enhance and simplify date intelligence. DAX queries can access existing tables in the data model, and the tables evaluated during refresh can be used in relationships and measure calculations like all other tables. Similar to calculated columns, calculated tables should be rarely used given the transformation capabilities of M, SQL, and ETL tools, but can be valuable supplements to models for small tables, such as role playing date dimensions and bridge tables.

This recipe provides an example of using DAX Calculated Tables to support role playing date dimensions. Additionally, a single row table is created via DAX to simplify common date intelligence measures.

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