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Hands-On SQL Server 2019 Analysis Services

You're reading from  Hands-On SQL Server 2019 Analysis Services

Product type Book
Published in Oct 2020
Publisher Packt
ISBN-13 9781800204768
Pages 474 pages
Edition 1st Edition
Languages
Author (1):
Steve Hughes Steve Hughes
Profile icon Steve Hughes
Toc

Table of Contents (19) Chapters close

Preface 1. Section 1: Choosing Your Model
2. Chapter 1: Analysis Services in SQL Server 2019 3. Chapter 2: Choosing the SQL Server 2019 Analytic Model for Your BI Needs 4. Section 2: Building and Deploying a Multidimensional Model
5. Chapter 3: Preparing Your Data for Multidimensional Models 6. Chapter 4: Building a Multidimensional Cube in SSAS 2019 7. Chapter 5: Adding Measures and Calculations with MDX 8. Section 3: Building and Deploying Tabular Models
9. Chapter 6: Preparing Your Data for Tabular Models 10. Chapter 7: Building a Tabular Model in SSAS 2019 11. Chapter 8: Adding Measures and Calculations with DAX 12. Section 4: Exposing Insights while Visualizing Data from Your Models
13. Chapter 9: Exploring and Visualizing Your Data with Excel 14. Chapter 10: Creating Interactive Reports and Enhancing Your Models in Power BI 15. Section 5: Security, Administration, and Managing Your Models
16. Chapter 11: Securing Your SSAS Models 17. Chapter 12: Common Administration and Maintenance Tasks 18. Other Books You May Enjoy

Summary

In this chapter, you saw the various types of interaction you can have with multidimensional and tabular models when working with Excel. You created PivotTables and charts and supported these with timeline and slicer filters. These skills you learned will help you to visualize your data using Excel and both multidimensional and tabular models. You are also now able to enhance your Excel workbook visualizations to make them more appealing to your users and focus on the data to support your business scenario.

In the next chapter, we will use Power BI Desktop to live-connect to our models and create a similar dashboard. When the goal is to visualize the data in your models for users, Power BI has more visual capabilities than Excel.

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