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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Chapter 3: Preparing Your Data for Multidimensional Models

Multidimensional models are the original OLAP structures supported in SQL Server Analysis Services (SSAS). Starting out as OLAP services over 20 years ago, the tooling is now considered mature by Microsoft and is not planned for any major updates in the foreseeable future. Throughout the years, Microsoft has made significant improvements to Analysis Services and its support for multidimensional models. This includes changes to support dimensional models or star schemas. Today's version of Analysis Services continues to lean heavily on that data modeling pattern.

This chapter focuses on preparing your data. To properly build a multidimensional model, your data should be shaped using dimensional modeling techniques. You will be introduced to dimensional modeling theory, design practices to support those models, and other techniques to support using cubes with SQL Server. Without this data preparation, you will struggle...