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

Concepts

Data Analysis

Author (1):

Steve Hughes

Table of Contents (19) Chapters

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

Leave a review - let other readers know what you think

Discovering multidimensional model strengths and challenges

When multidimensional models were introduced, they were difficult for most report developers to wrap their heads around. They were not relational in nature and we had to think differently about structures. In order to create a good multidimensional model, we now need to understand dimensional modeling and denormalization (we dive into details on this in Chapter 3, Preparing Your Data for Multidimensional Models). However, the results were high performing, ad hoc-capable analytics databases that were simple for users to consume.

This section will focus on the strengths and challenges specific to multidimensional models. While not necessarily an exhaustive list, these strengths and challenges will influence your model choice. These are not listed in any particular order because they may apply differently to your specific technical or business needs.