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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

Chapter 6. Adding Calculations to the Cube

This chapter explains how to enhance the analytical capabilities of our cube with MDX calculations. Calculations, especially calculated members, are very common in cubes as they are a very easy and convenient way to generate new and useful business metrics from the basic values you have imported from your data warehouse.

This chapter does not cover basic MDX concepts, although we will provide several examples of MDX usage. For a complete reference of the MDX language, or for a thorough tutorial, you should refer to other books, such as MDX Solutions, Fast Track to MDX, Microsoft SQL Server 2008 MDX Step by Step, or MDX with SSAS 2012 Cookbook.

Reading this chapter, you will learn about:

  • The different kinds of calculated members

  • Several ready-to-use examples of calculated members

  • The difference between using calculated measures and calculation dimensions

  • Defining and using named sets

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