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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

Defining entity relationships in DSV


While creating a data source view, you noticed that SSDT automatically detected primary and foreign keys between DimDate and fact tables and established their respective relationships. If our data source does not have referential integrity constraints, we would have to define the logical primary keys and necessary relationships directly within the DSV.

To set up relationships between two objects within a DSV, dimension objects (tables or views) must have a primary key column and fact tables must reference this column. The column names in fact and dimension tables do not need to match, but they must have compatible data types. For example, you cannot create a relationship between an integer and string columns.

How to do it...

Let's get started; the following are the steps to define the entity relation in DSV:

  1. To define a logical primary key on an object that does not already have one, right-click on the column that uniquely identifies each record in the table...

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