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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Prepping our database for the multidimensional model

Everything in this chapter is about prepping the underlying data and database in order to support a multidimensional model. This section presents a hands-on implementation of the views to support the multidimensional model we are going to create.

Wide World Importers Sales

The focus of this book is on Wide World Importers Sales. In particular, the Fact.Sales table will be used as the heart of the schema. The following dimensions are part of our model design:

City: Dimension.City
Customer: Dimension.Customer
Bill To Customer: Dimension.Customer
Invoice Date: Dimension.Date
Delivery Date: Dimension.Date
Item: Dimension.Stock Item
Salesperson: Dimension.Employee

A total of six tables will be used in the multidimensional model. These tables already exist in our data warehouse, so the next step is to create views that will support the multidimensional model build in the following chapters...