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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

Query design per dataset mode

Many common M queries can be written for both import and DirectQuery datasets, but with widely different implications for the source system resources utilized and the performance of the analytical queries from Power BI. It's essential that the mode of the dataset (import or DirectQuery) has been determined in advance of the development of the data access queries and that this decision is reflected in the M queries of the dataset.

The M queries supporting a Power BI dataset import mode should exclude, or possibly split, columns with many unique values, such as a Transaction Number column, as these columns consume relatively high levels of memory. A standard design technique for import mode models is to exclude derived fact table columns with relatively more unique values when these values can be computed via simple DAX measure expressions based...

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