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SQL Server Analysis Services 2012 Cube Development Cookbook

You're reading from   SQL Server Analysis Services 2012 Cube Development Cookbook If you prefer the instructional approach to a lot of theory, this cookbook is for you. It takes you straight into building data cubes through hands-on recipes, helping you get to grips with SQL Server Analysis Services fast.

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Product type Paperback
Published in Dec 2013
Publisher Packt
ISBN-13 9781849689809
Length 340 pages
Edition 1st Edition
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Toc

Table of Contents (14) Chapters Close

Preface 1. Introduction to Multidimensional Data Model Design FREE CHAPTER 2. Defining Analysis Services Dimensions 3. Creating Analysis Services Cubes 4. Extending and Customizing Cubes 5. Optimizing Dimension and Cube Processing 6. MDX 7. Analysis Services Security 8. Administering and Monitoring Analysis Services 9. Using Tabular Models 10. DAX Calculations and Queries 11. Performance Tuning and Troubleshooting Tabular Models A. Miscellaneous Analysis Services Topics Index

Creating named calculations and queries


Named calculations allow extending an existing object to include data structures necessary for defining a dimension. The most common example is of combining the first and last name columns into a single column named as full_name. Similarly, we could concatenate the quarter and year columns to define a full description for each calendar quarter, as in Quarter 2, 2013. If you have sufficient access to the relational database, you have an option of creating any views you need for building dimensions; this approach is favored by many data warehouse and cube developers. However, it is also plausible that you won't have permission to create or alter relational objects. There is no need to worry though; named calculations are here to help. For example, suppose you have the Employee dimension based on the DimEmployee table, which includes the FirstName and LastName columns. This could be great for relational design, but you'll need to define a named calculation...

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