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Hands-On SQL Server 2019 Analysis Services

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

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Product type Paperback
Published in Oct 2020
Publisher Packt
ISBN-13 9781800204768
Length 474 pages
Edition 1st Edition
Languages
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Author (1):
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Steven Hughes Steven Hughes
Author Profile Icon Steven Hughes
Steven Hughes
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Table of Contents (19) Chapters Close

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

Chapter 7: Building a Tabular Model in SSAS 2019

In the previous chapter, we looked at the various ways in which data can be prepped and used with tabular models. This chapter focuses on using that data to build out tabular models that we can use for analysis. When you have completed the work in this chapter, you will be able to build tabular models from various types of data sources.

In this chapter, we will build out four tabular models to demonstrate building from the data warehouse and also from the transactional database source. We will also create a DirectQuery version of the data warehouse model. We will wrap up model creation by importing the Power Pivot model we created in the previous chapter.

Apart from this, we will create a solution that supports multiple models or projects. Like with the multidimensional model build, we will pull in the data, create tables, set relationships, and add some custom columns and hierarchies. This will result in the completion of basic...

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