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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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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

Using the PARALLELPERIOD function


A common requirement for BI reporting is to show performance based on periods. Examples include reporting on this month versus last month, this quarter versus last quarter, or this year versus last year. In each of these instances you are calculating the totals based on the time frame required. DAX includes the PARALLELPERIOD function to create these types of comparisons.

How to do it...

  1. Open the Model.bim to the CRASH_DATA_T table.

  2. In the measure creation area, click on an empty cell to create a measure to return the number of accidents using year:

            ParallelPeriod:=CALCULATE( 
              COUNT(CRASH_DATA_T[CASENUMBER]), 
              PARALLELPERIOD(Calc_Date_T[CRASH_DATE], 
            -1,YEAR)) 
    

  3. This returns the total number of records in the table by year excluding the year 2006:

By looking at the total number of records per year in the ParallelPeriod column you can see how records were returned the prior year. For instance, in 2015...

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