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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

SQL views

As described in the Dataset planning section of Chapter 1, Planning Power BI Projects, a set of SQL views should be created within the data source and these objects, rather than the database tables, should be accessed by the Power BI dataset. Each fact and dimension table required by the Power BI dataset should have its own SQL view and its own M query within the dataset that references this view. The SQL views should preferably be assigned to a dedicated database schema and identify the dimension or fact table represented as shown in the following screenshot:

Views assigned to BI schema in SQL Server
A common practice is to create a database schema specific to the given dataset being created or to the specific set of reports and dashboards required for a project. However, as suggested in the Data Warehouse Bus Matrix section of Chapter 1, Planning Power BI Projects...
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