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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
Author Profile Icon Brett Powell
Brett Powell
Mitchell Pearson Mitchell Pearson
Author Profile Icon Mitchell Pearson
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


This chapter reviewed Power BI Premium and Analysis Services as the primary means to deploy Power BI at scale and with enterprise BI tools and controls. The current and future features of Power BI Premium were described, as well as the factors to account for inefficiently provisioning and allocating premium capacity. Additionally, Analysis Services was contrasted with Power BI Desktop-based datasets to expose the features and benefits exclusive to Microsoft's enterprise BI modeling tool. Moreover, details were provided in comparing Azure Analysis Services with SSAS and in migrating a Power BI Desktop model to Analysis Services. 

Power BI Premium and Analysis Services further Microsoft's goal of providing organizations with the flexibility to deploy Power BI on their terms. Organizations can quickly scale up a self-service solution to support many users and they can also migrate self-service content to IT-owned corporate BI solutions. The common modeling engine between Power BI and...

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