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Microsoft Power BI Complete Reference

You're reading from   Microsoft Power BI Complete Reference Bring your data to life with the powerful features of Microsoft Power BI

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Product type Course
Published in Dec 2018
Publisher Packt
ISBN-13 9781789950045
Length 794 pages
Edition 1st Edition
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Authors (5):
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Brett Powell Brett Powell
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Brett Powell
Mitchell Pearson Mitchell Pearson
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Mitchell Pearson
Brian Knight Brian Knight
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Brian Knight
Devin Knight Devin Knight
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Devin Knight
Manuel Quintana Manuel Quintana
Author Profile Icon Manuel Quintana
Manuel Quintana
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Toc

Table of Contents (25) Chapters Close

Title Page
About Packt
Contributors
Preface
1. Getting Started with Importing Data Options FREE CHAPTER 2. Data Transformation Strategies 3. Building the Data Model 4. Leveraging DAX 5. Visualizing Data 6. Using a Cloud Deployment with the Power BI Service 7. Planning Power BI Projects 8. Connecting to Sources and Transforming Data with M 9. Designing Import and DirectQuery Data Models 10. Developing DAX Measures and Security Roles 11. Creating and Formatting Power BI Reports 12. Applying Custom Visuals, Animation, and Analytics 13. Designing Power BI Dashboards and Architectures 14. Managing Application Workspaces and Content 15. Managing the On-Premises Data Gateway 16. Deploying the Power BI Report Server 17. Creating Power BI Apps and Content Distribution 18. Administering Power BI for an Organization 19. Scaling with Premium and Analysis Services 1. Other Books You May Enjoy Index

Summary


In this chapter, we've walked through the primary elements and considerations in planning a Power BI project. A standard and detailed planning process inclusive of the self-service capabilities needed or expected, project roles and responsibilities, and the design of the dataset can significantly reduce the time and cost to develop and maintain the solution. With a sound foundation of business requirements and technical analysis, a business intelligence team can confidently move forward into a development stage.

In the next chapter, the two data sources identified in this chapter (SQL Server and Excel) will be accessed to begin development of an import mode dataset. Source data will be retrieved via Power BI's M language queries to retrieve the set of required fact and dimension tables. Additionally, several data transformations and query techniques will be applied to enhance the analytical value of the data and the usability of the dataset. 

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