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

In this chapter, you have learned to create tabular models from various source configurations, such as star schemas and transactional databases. You have created a DirectQuery model that uses the underlying data store to process the requests, and you imported your Power Pivot model into Analysis Services as well. The skills you have learned here will support your ability to deliver tabular models that meet business needs regardless of the data sources. You will also be able to explain the value of improving the data sources to create more robust analytic models.

Don't forget to remove the Power Query and Power Pivot models to keep your memory management on your development server in check. You can remove the other two databases as well because we will be using workspace databases for the next chapter. However, you will need to redeploy WideWorldImportersDQ and WideWorldImportersTAB for later chapters.

The next chapter focuses on using DAX, or Data Analysis Expressions...