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Tabular Modeling with SQL Server 2016 Analysis Services Cookbook

You're reading from   Tabular Modeling with SQL Server 2016 Analysis Services Cookbook Create better operational analytics for your users with these business solutions

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Product type Paperback
Published in Jan 2017
Publisher Packt
ISBN-13 9781786468611
Length 372 pages
Edition 1st Edition
Languages
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Author (1):
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 Wilson Wilson
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Wilson
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Table of Contents (18) Chapters Close

Tabular Modeling with SQL Server 2016 Analysis Services Cookbook
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Introduction to Microsoft Analysis Services Tabular Mode FREE CHAPTER 2. Setting up a Tabular Mode Environment 3. Tabular Model Building 4. Working in Tabular Models 5. Administration of Tabular Models 6. In-Memory Versus DirectQuery Mode 7. Securing Tabular Models 8. Combining Tabular Models with Excel 9. DAX Syntax and Calculations 10. Working with Dates and Time Intelligence 11. Using Power BI for Analysis

Introduction


This chapter will explore how to leverage Data Analysis Expressions (DAX) in Power Pivot, tabular models, and SQL Server Management Studio. DAX is a formula-based language similar to functions in Excel that allows you to create calculations and queries. When designing models, you will leverage these formulas to enhance the model to make it easier for users to leverage. There are two ways to add DAX into your model, either as a calculated column or a calculate measure. When you create a calculated column you apply a function that evaluates each row independently and returns the result. Calculated measures are applied to the table and column by using functions to determine the result based on the context. In addition, you can use DAX to query your model much like using T-SQL to query a relational database.

Note

There are several categories of DAX functions designed to perform a variety of calculations. These include logical, aggregation, text, mathematical, statistical, date and...

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