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Hands-On Business Intelligence with DAX

You're reading from   Hands-On Business Intelligence with DAX Discover the intricacies of this powerful query language to gain valuable insights from your data

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Product type Paperback
Published in Jan 2020
Publisher Packt
ISBN-13 9781838824303
Length 402 pages
Edition 1st Edition
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Author (1):
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Ian Horne Ian Horne
Author Profile Icon Ian Horne
Ian Horne
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Table of Contents (18) Chapters Close

Preface 1. Section 1: Introduction to DAX for the BI Pro
2. What is DAX? FREE CHAPTER 3. Using DAX Variables and Formatting 4. Building Data Models 5. Working with DAX in Power BI, Excel, and SSAS 6. Getting It into Context 7. Section 2: Understanding DAX Functions and Syntax
8. Progressive DAX Syntax and Functions 9. Table Functions 10. Date, Time, and Time Intelligence Functions 11. Filter Functions 12. Statistical Functions 13. Working with DAX Patterns 14. Section 3: Taking DAX to the Next Level
15. Optimizing Your Data Model 16. Optimizing Your DAX Queries 17. Other Books You May Enjoy

Introducing the VertiPaq engine

The VertiPaq engine is an in-memory columnar database that sits behind Excel Power Pivot, SQL Server Analysis Services (SSAS) Tabular, and Power BI. When you load data into a data model, it is loaded, compressed, and stored in RAM using the VertiPaq engine. You may also see it referred to by its newer official name, the xVelocity engine, but it is still widely known by the code name used during its development, and this is how we will refer to it in this book.

Understanding how this database engine processes data when it is loaded into a data model, even at a basic level, is essential if you want to build efficient data models.

The VertiPaq engine is only relevant when you are importing data into a data model. If you are using DirectQuery to connect to your data, then the VertiPaq engine is not used.

With a traditional database, data is stored in...

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