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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


DAX includes many functions that enable you to aggregate and compare data over time periods. To use the time intelligence functions, you must ensure that a table has been chosen as the date table in your model. In addition, the date table must have one row for each day in the year. In the following recipes, you will use the Calc_Date_T table created in Chapter 9, DAX Syntax and Calculations. The Crash_Date will be used as the date column. The time functions will use this date table as the basis for all of the calculations.

Date calculations can be either additive or semi-additive. Additive measures can be summed across the date dimension in relation to the fact tables. For instance, total records created by month or year. Semi-additive measures can only be summed across certain dimensions but not all, for example, the opening balance of crashes recorded in a month. If you total the opening balance of crashes for each month in the year 2015, it would not total the total number...

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