You're reading from Hands-On SQL Server 2019 Analysis Services Design and query tabular and multi-dimensional models using Microsoft's SQL Server Analysis Services

Product type Paperback

Published in Oct 2020

Publisher Packt

ISBN-13 9781800204768

Length 474 pages

Edition 1st Edition

Languages

SQL

Tools

SQL Server

Concepts

Data Analysis

Author (1):

Steven Hughes

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Table of Contents (19) Chapters

Preface

1. Section 1: Choosing Your Model

2. Chapter 1: Analysis Services in SQL Server 2019 FREE CHAPTER

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

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Summary

That wraps up our chapter on DAX. So much more can be done with DAX. We encourage you to explore the functions and try new things with your data. In this chapter, you added measures, calculated columns, calculated tables, calculation groups, and KPIs to your tabular model. We concluded the chapter by using SSMS to query the data.

You can use your DAX skills here to continue to expand and improve your tabular models. These improvements will help your users have a more complete experience with your models. You can also use DAX query techniques to review the data in your models and continue to improve data quality and validate results.

The next chapter is our first chapter focused on visualizations. We begin our visualization journey with Excel. We have been using Excel quite a bit in this chapter to check our work. In the next chapter, we dig deeper and create some dashboards and learn a number of Excel functions that help us make Excel look great while delivering the...