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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Exploring more MDX expressions

Entire books have been written on MDX exclusively. MDX is a very powerful query and expression language. We have touched just a small part of what is possible. This section will present a few additional expressions and techniques for you to practice with. We will primarily be working in SSMS to illustrate both member creation and various query techniques. Any member created in SSMS can be moved to the cube, as we have demonstrated throughout this chapter.

Traversing hierarchies

Earlier in the chapter, we talked about how traversing the cube is like working with a family tree. Functions such as parent, children, ancestor, descendant, and even cousin exist in MDX. Here are some examples for you to use with our cube.

members

members returns all the members of a level or hierarchy depending on the context. We have used members in several queries already. Let's look at the City dimension for an easy example of using members. We can use members...