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  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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MSAS: Defining Cube Properties Page - 2

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Author : Exforsys Inc.     Published on: 9th Apr 2005

MSAS: Defining Cube Properties

Enabling Drillthrough for a cube

The drillthrough feature allows the user to see the individual rows and values from the fact table that were input into a cube.

a)      On Cube Editor Tools menu click Drillthrough Options

b)      In the Cube Drillthrough Options dialog box, select Enable Drillthrough checkbox, click the Select All Button, and Click Ok.  Click Ok again when warned that the cube must be saved.

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c)  Now click the Process cube button, accept the offer to save the cube, decline storage creation and click Full Process processing option, click Ok, and then close the process log window.

d)      Browse the data in the Data Tab 

Drillthrough is a useful feature, but when used in a cube its usefulness is limited to the amount of data that is already stored in the cube’s fact table.

The Order By Property of the dimension and its impact on cube data

Certain applications like the finance applications aggregate in complex ways.  It is very important that the data is presented in some kind of order.  The Order By property of the cube is used to set the order in which data is to appear in the output browser of the cube.  To set the Order By property of a dimension:

a)      In the Dimension folder select the dimension and click the Advanced tab in the properties pane to change the All Level Property to No.

b). Though the Dimension key has no impact on the Analysis server, the client application may derive some benefit by sorting out the order of account members.  Expand the dimension and select the level and change its Order By Property to Key and press enter. 

c)      The dimension members now appear in the proper order.

Using Custom Rollup Operators and Custom Member formulas with cubes

Custom rollup operators are used to properly aggregate values along a dimension.  Each member of the dimension needs its own aggregation rule. It may be recalled that aggregation rules consist of single-character codes and these codes are simple arithmetic operators called unary operators. Custom Member formulas provide values for specific members in a fact table and the rules are stored in Multidimensionsal Expressions(MDX).  This was discussed in detail in the earlier tutorial “Using Advanced Dimension Settings”. 

Creating a cube from a measureless fact table

Some fact tables have no quantitative measures.  Yet data from these tables need to be analyzed in different ways and results obtained.  For instance a visitor dimension may contain only rows and columns which tell you the id’s of visitors who visited a store in a particular region or district.  There may be no quantitative value attached to the information.  You may need to have a count of the number of distinct visitors who visited the store.  This is done by creating a count measure.  The visitor id is dragged and dropped into the measures folder and the Aggregation parameter is set to count and the cube is processed.  The Data tab then returns the visitor id and the number of visits made by that visitor.  If the aggregation parameter is set to Distinct Count the data returned would tell the user the number of distinct visitors the store received.

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Handling very large Flat Dimensions

Very large dimensions with a large number of rows of data may require some amount of grouping to derive some sense from the information.  Setting the grouping property to automatic will create groups from the data.  The groups are added to the dimension only when the cube is processed.  In the Data tab, the group levels are displayed with the + sign and can be collapsed and expanded to view the data.  It must be noted that the user has no direct control over the number of groups created automatically by the Analysis services.

Creating a Cube from an Empty fact table

Normally the values in a sales forecast cube will be entered by the user and a fact table may not be required.   However, a cube cannot be created without a fact table and hence sometimes an empty fact table is used to create a cube.  The fact table will contain columns but no data or rows.  It is a placeholder.  The user will get a message that there are no rows in the fact table when the dimension is selected.  A non-zero value will have to be manually entered as the number of fact table rows before processing the cube.  To do this, the user needs to select the cube and on the Advanced Tab of the properties pane, type 1 as the value of the Fact Table Size Property and then click the Process Cube button.

Write enabled cubes and Writeback data

Cube data can be configured so that end users can make changes to it.



 
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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