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Analysis Services Training

  1. MSAS - Browsing the Dependency Network
  2. MSAS - Building a Relational Decision Tree Model
  3. MSAS - Introduction to Data Mining
  4. MSAS - Applying security to a Dimension
  5. Tutorial 65: MSAS - Managing Cube Roles
  6. MSAS - Understanding Database Roles
  7. MSAS - Securing User Authentication
  8. MSAS - Introducing Analysis Services Security
  9. MSAS - Writebacks
  10. MSAS - Defining and Creating Drillthrough
  11. MSAS - Defining and Creating Auctions
  12. MSAS - Creating and Maintaining Calculated Members in Virtual Cubes
  13. MSAS - Building a Virtual Cube
  14. MSAS - Understanding Virtual Cubes
  15. MSAS - Introducing Solve Order
  16. MSAS - Implementing Calculations Using MDX Part 2
  17. MSAS - Implementing Calculations Using MDX Part 1
  18. MSAS - Merging Partitions
  19. MSAS - Introduction and Managing Partitions
  20. MSAS - Troubleshooting Cube Processing
  21. MSAS - Optimizing Cube Processing
  22. MSAS - Processing Dimensions and Cubes
  23. MSAS - Introducing Dimension and Cube Processing
  24. MSAS: Optimization Tuning Part 2
  25. MSAS: Optimization Tuning Part 1
  26. MSAS: Usage-Based Optimization
  27. MSAS: Analysis Services Aggregations
  28. MSAS: The Storage Design Wizard
  29. MSAS: Analysis Server Cube Storage
  30. MSAS: Defining Cube Properties
  31. MSAS: Introduction and Working with Measures
  32. MSAS: Introduction and Working with Cubes
  33. MSAS: Virtual Dimensions
  34. MSAS: Introducing Member Properties
  35. MSAS: Creating Custom Rollups
  36. MSAS: Creating a Time Dimension
  37. MSAS: Understanding Hierarchies
  38. MSAS: Dimension Storage Modes and Levels
  39. MSAS: Working with Levels and Hierarchies
  40. MSAS: Working with Parent-Child Dimensions
  41. MSAS : Basics of Levels
  42. MSAS : Working with Standard Dimensions
  43. MSAS : Shared vs Private Dimensions
  44. Understanding Dimension Basics
  45. MSAS : Office 2000 OLAP Components
  46. MSAS : Client Architecture
  47. MSAS : Cube Storage options
  48. MSAS : Meta data Repository
  49. MSAS : Analysis services Tools for Extended Functionality
  50. MSAS : The Wizards
  51. MSAS : The Analysis Manager and Analysis Server
  52. MSAS : The Data warehousing framework of SQL Server 2000 - Part 2
  53. MSAS : The Data warehousing framework of SQL Server 2000 - Part 1
  54. MSAS : Microsoft Data Warehousing Overview
  55. MSAS : Browsing the Cube
  56. MSAS : Designing Storage and Processing the Cube
  57. MSAS : Building the Cube Part #3
  58. MSAS : Building the Cube Part #2
  59. MSAS : Building the Cube Part #1
  60. MSAS : Setting up the Database in Analysis Server
  61. MSAS : Preparing to Create the Cube
  62. MSAS : Introducing Analysis Manager Wizards
  63. Microsoft Analysis Services Installation
  64. MSAS - Applying OLAP Cubes
  65. Understanding OLAP Models
  66. Designing the Dimensional Model and Preparing the data for OLAP
  67. Design of the data warehouse: Kimball Vs Inmon
  68. Defining OLAP Solutions and Data Warehouse design
  69. Microsoft Analysis Services Training
  70. Data Warehouse database and OLTP database
  71. Introduction to Data Warehousing

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Understanding Dimension Basics Page - 2

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Author : Exforsys Inc.     Published on: 29th Mar 2005

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.

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While the wizard pre-populates the default property value, the dimension editor provides the user with an interface with which to set properties for a dimension and to manipulate the various dimensions and dimension level properties that are attributed to a dimension.

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.


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.


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.


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.


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.





Select Advanced options for regular dimensions dialog box


The options available in this dialog box enable users to set different properties to dimensions or members and change the dimension or member properties.


If the user wants to change dimension properties he will have to invoke the Changing Dimension Wizard. This wizard is used to optimize a dimension for frequent changes to data within the relational data source. Regular dimensions that change require the ROLAP storage mode or has to be a parent-child dimension or a virtual dimension.


Uniqueness of members can be ordered by using a combination of member keys unique, member names unique, allow duplicate names, and order by dimension level properties. This helps in building more efficient aggregates for the dimensions.


Storage mode and member groups is a property that is a combination of the storage mode and the dimension property and the grouping dimension level property. Where the dimension has more than 10 million members, this dialog helps convert the storage mode to ROLAP. If the range is greater than 64,000 members but less than 10 million Analysis services will automatically create a grouping level above the lowest level.











 
This tutorial is part of a Analysis Services Training tutorial series. Read it from the beginning and learn yourself.

Analysis Services Training

  1. MSAS - Browsing the Dependency Network
  2. MSAS - Building a Relational Decision Tree Model
  3. MSAS - Introduction to Data Mining
  4. MSAS - Applying security to a Dimension
  5. Tutorial 65: MSAS - Managing Cube Roles
  6. MSAS - Understanding Database Roles
  7. MSAS - Securing User Authentication
  8. MSAS - Introducing Analysis Services Security
  9. MSAS - Writebacks
  10. MSAS - Defining and Creating Drillthrough
  11. MSAS - Defining and Creating Auctions
  12. MSAS - Creating and Maintaining Calculated Members in Virtual Cubes
  13. MSAS - Building a Virtual Cube
  14. MSAS - Understanding Virtual Cubes
  15. MSAS - Introducing Solve Order
  16. MSAS - Implementing Calculations Using MDX Part 2
  17. MSAS - Implementing Calculations Using MDX Part 1
  18. MSAS - Merging Partitions
  19. MSAS - Introduction and Managing Partitions
  20. MSAS - Troubleshooting Cube Processing
  21. MSAS - Optimizing Cube Processing
  22. MSAS - Processing Dimensions and Cubes
  23. MSAS - Introducing Dimension and Cube Processing
  24. MSAS: Optimization Tuning Part 2
  25. MSAS: Optimization Tuning Part 1
  26. MSAS: Usage-Based Optimization
  27. MSAS: Analysis Services Aggregations
  28. MSAS: The Storage Design Wizard
  29. MSAS: Analysis Server Cube Storage
  30. MSAS: Defining Cube Properties
  31. MSAS: Introduction and Working with Measures
  32. MSAS: Introduction and Working with Cubes
  33. MSAS: Virtual Dimensions
  34. MSAS: Introducing Member Properties
  35. MSAS: Creating Custom Rollups
  36. MSAS: Creating a Time Dimension
  37. MSAS: Understanding Hierarchies
  38. MSAS: Dimension Storage Modes and Levels
  39. MSAS: Working with Levels and Hierarchies
  40. MSAS: Working with Parent-Child Dimensions
  41. MSAS : Basics of Levels
  42. MSAS : Working with Standard Dimensions
  43. MSAS : Shared vs Private Dimensions
  44. Understanding Dimension Basics
  45. MSAS : Office 2000 OLAP Components
  46. MSAS : Client Architecture
  47. MSAS : Cube Storage options
  48. MSAS : Meta data Repository
  49. MSAS : Analysis services Tools for Extended Functionality
  50. MSAS : The Wizards
  51. MSAS : The Analysis Manager and Analysis Server
  52. MSAS : The Data warehousing framework of SQL Server 2000 - Part 2
  53. MSAS : The Data warehousing framework of SQL Server 2000 - Part 1
  54. MSAS : Microsoft Data Warehousing Overview
  55. MSAS : Browsing the Cube
  56. MSAS : Designing Storage and Processing the Cube
  57. MSAS : Building the Cube Part #3
  58. MSAS : Building the Cube Part #2
  59. MSAS : Building the Cube Part #1
  60. MSAS : Setting up the Database in Analysis Server
  61. MSAS : Preparing to Create the Cube
  62. MSAS : Introducing Analysis Manager Wizards
  63. Microsoft Analysis Services Installation
  64. MSAS - Applying OLAP Cubes
  65. Understanding OLAP Models
  66. Designing the Dimensional Model and Preparing the data for OLAP
  67. Design of the data warehouse: Kimball Vs Inmon
  68. Defining OLAP Solutions and Data Warehouse design
  69. Microsoft Analysis Services Training
  70. Data Warehouse database and OLTP database
  71. Introduction to Data Warehousing
 

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