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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Working with time intelligence and DAX

The time intelligence functionality is an important part of any analytics solution. Tabular models are no exception. DAX has several functions that support time intelligence. In order for these functions to work, a table in the model must be marked as Date Table. In Chapter 7, Building a Tabular Model in SSAS 2019, we marked our date table as the date table for this purpose. The requirements for the date table are called out in that chapter as well.

Time intelligence functions in DAX allow you to perform calculations with your data over supported time periods. This includes year, quarter, month, and day. Some of the functions are common, including the to date functions such as YTD, QTD, and MTD. Others have specific use cases, such as the BALANCE functions, which can be used to calculate a value at the end of a period such as a month, CLOSINGBALANCEMONTH.

We are going to create a few calculations using the Invoice Sales table. We will be...