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Expert Cube Development with SSAS Multidimensional Models

Expert Cube Development with SSAS Multidimensional Models

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Expert Cube Development with SSAS Multidimensional Models

Expert Cube Development with SSAS Multidimensional Models

4.5 (19)
Buy this Book

Overview of this book

Table of Contents (19 chapters)
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Expert Cube Development with SSAS Multidimensional Models
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Expert Cube Development with SSAS Multidimensional Models
Credits
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Credits
About the Authors
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About the Authors
About the Reviewers
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About the Reviewers
www.PacktPub.com
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www.PacktPub.com
Preface
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Preface
Lock Free Chapter
1
Designing the Data Warehouse for Analysis Services
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Designing the Data Warehouse for Analysis Services
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The source database
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Data modeling for Analysis Services
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Physical database design for Analysis Services
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Summary
2
Building Basic Dimensions and Cubes
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Building Basic Dimensions and Cubes
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Multidimensional and Tabular models
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Choosing an edition of Analysis Services
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Setting up a new Analysis Services project
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Creating data sources
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Creating Data Source Views
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Designing simple dimensions
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Building a simple cube
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Summary
3
Designing More Complex Dimensions
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Designing More Complex Dimensions
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Grouping and banding
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Modeling Slowly Changing Dimensions
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Modeling junk dimensions
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Modeling ragged hierarchies
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Summary
4
Measures and Measure Groups
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Measures and Measure Groups
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Measures and aggregation
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Measure groups
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Dimension/measure group relationships
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Summary
5
Handling Transactional-Level Data
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Handling Transactional-Level Data
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Details about transactional data
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Drillthrough
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Many-to-many dimension relationships
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Summary
6
Adding Calculations to the Cube
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Adding Calculations to the Cube
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Different kinds of calculated members
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Common calculations
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Calculation dimensions
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Named sets
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Summary
7
Adding Currency Conversion
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Adding Currency Conversion
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Introduction to currency conversion
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Where to perform currency conversion
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The Add Business Intelligence wizard
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Measure expressions
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Summary
8
Query Performance Tuning
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Query Performance Tuning
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Understanding how Analysis Services processes queries
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Performance tuning methodology
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Designing for performance
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Performance-specific design features
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MDX calculation performance
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Caching
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Scale-up and Scale-out
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Summary
9
Securing the Cube
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Securing the Cube
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Sample security requirements
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Analysis Services security features
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Administrative security
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Data security
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Dynamic cell security
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Accessing Analysis Services from outside a domain
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Managing security
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Security and query performance
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Summary
10
Going in Production
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Going in Production
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Making changes to a cube in production
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Managing partitions
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Managing processing
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SSAS Data Directory maintenance
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Performing database backup
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Copying databases between servers
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Summary
11
Monitoring Cube Performance and Usage
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Monitoring Cube Performance and Usage
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Analysis Services and the operating system
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Monitoring processing performance
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Monitoring query performance
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Monitoring usage
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Building a complete monitoring solution
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Summary
1
DAX Query Support
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DAX Query Support
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Implementation details
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Connecting Power View to a Multidimensional model
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Running DAX queries against a Multidimensional model
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Index
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Index

Creating Data Source Views

In an ideal world, if you've followed all of our recommendations so far, then you need to do very little work in your project's Data Source View (DSV)—nothing more than selecting the views representing the dimension and fact tables and setting up any joins between the tables that weren't detected automatically. Of course, in the real world, you have to compromise your design sometimes and that's where a lot of the functionality available in Data Source Views comes in useful.

When you first create a new DSV, the easiest thing to do is to go through all of the steps of the wizard, but not to select any tables yet. You can then set some useful properties on the DSV, which will make the process of adding new tables and relationships much easier. In order to find them, right-click on some blank space in the diagram pane and click on Properties. They are:

  • RetrieveRelationships: By default, this is set to True, which means that SSDT will add relationships between tables...

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