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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 6: Preparing Your Data for Tabular Models

Tabular models are the newer analytics model structure implemented in SQL Server. The underlying analysis engine is columnar, not multidimensional, which means there are some different considerations for data preparation. The VertiPaq analysis engine was originally introduced in Excel and now supports Power BI datasets and Analysis Services tabular models. The technology behind VertiPaq uses a number of column-based algorithms to improve storage and performance. This technology allows Analysis Services to compress and structure the data for optimized performance. One other key design change is that tabular models match various relational data structures and are not reliant on a dimensional model for success.

In this chapter, we will look at the range of options, from minor preparation to star schema-based approaches. We will walk through prototyping tabular models with Excel Power Pivot capabilities. Because tabular models can be...

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