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Analysis Services TrainingUnderstanding Dimension Basics Page - 2
Understanding Dimension Basics
The Dimension Editor Interface
In the second tutorial of the series “Introducing Analysis Manager Wizards” we used dimension wizards to build our dimensions. The dimension editor however, appeared as soon as the dimension was created. This is because the Dimension editor is the interface that helps the user manipulate and edit a dimension. In the Analysis Manager, the main console, the Dimension Editor, and the Cube Editor are the only three windows. All others are wizards or dialog boxes.
Before proceeding to actually building dimensions let us examine the Dimension Editor interface we will be using. It consists of two panes—the left pane with the dimension tree and the properties pane and the right pane displaying the dimension tables with two tabs called schema tab and data tab.
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The Dimension Tree Pane
The dimension, its levels and member properties are contained in the Dimension tree pane that appears on the left pane of the Dimension editor interface. Clicking on the dimension name in the tree will activate the dimension level properties. For instance clicking on Store in the dimension tree will activate the properties of the store dimensions and the members will be displayed on the right pane. To delete a member level the user has to right click on the member and select delete. To rename a level, the user will have to click on the dimension level and click Rename. The name can then be altered. Using “Altering the name property” for that dimension level will also change the name of the property.
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The schema of the dimension is displayed in the schema tab of the Dimension editor. This interface displays the tables, views and joins of the relational database that has been used to create the dimension. This schema is extremely useful where snowflake schema or parent child dimensions have to be created.
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The Data tab of the interface enables the user browse the hierarchy of the dimension. Custom member formulas are displayed in a small window in the right pane and the type of member properties used and the values of the member properties within the dimension member.
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The Custom member formula window in the bottom right corner of the data tab allows the user to create a calculation at the member level. These calculations are useful in instances where the members created are based on other dimension members. For instance in a financial budget for current year’s expenses a 20% increase can be made by creating a custom calculation at the member level so that Current year’s Budget member is 1.2 times the Current year’s actual member. Calculation at member level requires that the SQL Server Enterprise edition is in use and the write back to the dimension option is enabled.
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Grouping levels is used when a dimension contains more than 64,000 members. In MOLAP storage mode Analysis services can handle up to 10 million members but the number of child members to a parent can be only 64,000. Artificial hierarchies are created to circumvent this problem. Analysis services has an inbuilt option of automatically creating the artificial hierarchies. For instance in the Employee dimension “all employees” would be a artificial hierarchy.
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Analysis Services Training
- MSAS - Browsing the Dependency Network
- MSAS - Building a Relational Decision Tree Model
- MSAS - Introduction to Data Mining
- MSAS - Applying security to a Dimension
- Tutorial 65: MSAS - Managing Cube Roles
- MSAS - Understanding Database Roles
- MSAS - Securing User Authentication
- MSAS - Introducing Analysis Services Security
- MSAS - Writebacks
- MSAS - Defining and Creating Drillthrough
- MSAS - Defining and Creating Auctions
- MSAS - Creating and Maintaining Calculated Members in Virtual Cubes
- MSAS - Building a Virtual Cube
- MSAS - Understanding Virtual Cubes
- MSAS - Introducing Solve Order
- MSAS - Implementing Calculations Using MDX Part 2
- MSAS - Implementing Calculations Using MDX Part 1
- MSAS - Merging Partitions
- MSAS - Introduction and Managing Partitions
- MSAS - Troubleshooting Cube Processing
- MSAS - Optimizing Cube Processing
- MSAS - Processing Dimensions and Cubes
- MSAS - Introducing Dimension and Cube Processing
- MSAS: Optimization Tuning Part 2
- MSAS: Optimization Tuning Part 1
- MSAS: Usage-Based Optimization
- MSAS: Analysis Services Aggregations
- MSAS: The Storage Design Wizard
- MSAS: Analysis Server Cube Storage
- MSAS: Defining Cube Properties
- MSAS: Introduction and Working with Measures
- MSAS: Introduction and Working with Cubes
- MSAS: Virtual Dimensions
- MSAS: Introducing Member Properties
- MSAS: Creating Custom Rollups
- MSAS: Creating a Time Dimension
- MSAS: Understanding Hierarchies
- MSAS: Dimension Storage Modes and Levels
- MSAS: Working with Levels and Hierarchies
- MSAS: Working with Parent-Child Dimensions
- MSAS : Basics of Levels
- MSAS : Working with Standard Dimensions
- MSAS : Shared vs Private Dimensions
- Understanding Dimension Basics
- MSAS : Office 2000 OLAP Components
- MSAS : Client Architecture
- MSAS : Cube Storage options
- MSAS : Meta data Repository
- MSAS : Analysis services Tools for Extended Functionality
- MSAS : The Wizards
- MSAS : The Analysis Manager and Analysis Server
- MSAS : The Data warehousing framework of SQL Server 2000 - Part 2
- MSAS : The Data warehousing framework of SQL Server 2000 - Part 1
- MSAS : Microsoft Data Warehousing Overview
- MSAS : Browsing the Cube
- MSAS : Designing Storage and Processing the Cube
- MSAS : Building the Cube Part #3
- MSAS : Building the Cube Part #2
- MSAS : Building the Cube Part #1
- MSAS : Setting up the Database in Analysis Server
- MSAS : Preparing to Create the Cube
- MSAS : Introducing Analysis Manager Wizards
- Microsoft Analysis Services Installation
- MSAS - Applying OLAP Cubes
- Understanding OLAP Models
- Designing the Dimensional Model and Preparing the data for OLAP
- Design of the data warehouse: Kimball Vs Inmon
- Defining OLAP Solutions and Data Warehouse design
- Microsoft Analysis Services Training
- Data Warehouse database and OLTP database
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