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Mastering Microsoft Power BI

You're reading from   Mastering Microsoft Power BI Expert techniques for effective data analytics and business intelligence

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Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781788297233
Length 638 pages
Edition 1st Edition
Languages
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Author (1):
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Brett Powell Brett Powell
Author Profile Icon Brett Powell
Brett Powell
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Table of Contents (15) Chapters Close

Preface 1. Planning Power BI Projects FREE CHAPTER 2. Connecting to Sources and Transforming Data with M 3. Designing Import and DirectQuery Data Models 4. Developing DAX Measures and Security Roles 5. Creating and Formatting Power BI Reports 6. Applying Custom Visuals, Animation, and Analytics 7. Designing Power BI Dashboards and Architectures 8. Managing Application Workspaces and Content 9. Managing the On-Premises Data Gateway 10. Deploying the Power BI Report Server 11. Creating Power BI Apps and Content Distribution 12. Administering Power BI for an Organization 13. Scaling with Premium and Analysis Services 14. Other Books You May Enjoy

Dataset layers

As we saw in Chapter 1, Planning Power BI Projects, and Chapter 2, Connecting to Sources and Transforming Data with M, Power BI datasets are composed of three tightly integrated layers, all included within a Power BI Desktop file. The M Queries described in the Chapter 2, Connecting to Sources and Transforming Data with M, connect to data sources and optionally apply data cleansing and transformation processes to this source data to support the Data Model. The Data Model, the subject of this chapter, concerns the relationships defined between fact and dimension tables, hierarchies of related columns, and metadata properties that define default behaviors, such as the sorting of column values. The final layer of datasets discussed in Chapter 4, Developing DAX Measures and Security Roles, Data Analysis Expressions (DAX) Measures, leverages the Data Model (and thus...

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