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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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Derek Wilson Derek Wilson
Author Profile Icon Derek Wilson
Derek Wilson
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Toc

Table of Contents (12) Chapters Close

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

Creating calculated columns


When creating DAX formulas, there are two ways to apply them to the model. The first is to create a calculated column. When you add a calculated column to the model, it applies the function on a row-by-row basis. For example, if you want to parse the datetime format of a table to only show the current year, adding a new calculated column would evaluate the formula on the date column and add it to a new column on the table evaluated once for each row in the table. When the data is refreshed, the formula is evaluated on the table and no user interaction is required for the formula to be applied to its context.

How to do it...

  1. Open Visual Studio and the tabular model project.

  2. On the CRASH_DATA_T table, review the CRASH_DATE column. It is a Date column that includes a timestamp.

  3. Scroll to the end of the CRASH_DATA_T table and enter the DAX expression to parse the year from the Crash_date column:

            =YEAR(CRASH_DATA_T[CRASH_DATE])
  4. The tabular engine will now immediately...

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