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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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MSAS: Dimension Storage Modes and Levels

Author : Exforsys Inc.     Published on: 3rd Apr 2005
Dimensions are stored in the Multidimensional OLAP or Relational OLAP. The storage mode determines the location and form of the dimensions data. While MOLAP stores data in a multidimensional structure on the Analysis server, ROLAP stores the data in the relational tables. The storage mode can be set using the Dimension or cube editor.

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When a Dimension’s storage mode is set to ROLAP the following settings have to be made to the levels in the dimension.

  1. The lowest level’s Member Keys Unique property is to be set to TRUE.
  2. The dimension must not contain member groups.
  3. If the dimension is a private one, its Aggregation Usage property must be set to Standard. 
  4. If the dimension is a shared one, the Aggregation Usage property must be set to Standard, or Top Level Only or Bottom level only or Top and Bottom Levels(if All Level property is YES).
  5. Any changes in the source table requires a reprocessing of the dimension.

Virtual and parent-child dimensions always have a MOLAP storage mode.

Level naming Template and Level Naming Dialog Box

The Level Naming dialog box is displayed only for the Parent child dimensions. This dialog box appears when the user selects a level in a parent child dimension and in the Advanced Tab of the properties box selects Level Naming Template and clicks on the ellipsis.







The Level Naming Template property of the Level Interface defines how levels in a parent child hierarchy are named. A template can be created in two ways.

1.  A naming pattern can be designed. A naming pattern contains an asterisk as a placeholder character for a counter that is incremented and inserted into the name of each new and deeper level.

2.  A list of names can be specified. A list of level names is created and each is separated from the other using semicolons. Each member of the list then is used to name a level. If the number of levels exceeds the number of names in the list, the last name in the list is used as a template for any additional names.

Allowing duplicate names in Dimensions

In the previous tutorial we saw how to allow duplicate names for members of a level using the Member Keys Unique Property and the Member Names Unique properties of levels. We will briefly recall the facts to refresh the memory. The Member Count returns the total number of unique names in the level. The Member Keys Unique property is TRUE and disabled because the top level of a dimension must always have unique keys. The Member Names Unique property will be FALSE if the Member Key Column is same as the Member Names Column. Duplicate names will be allowed if the Member Keys Unique and the Member Names Unique properties is all levels are set to False.

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Creating Expression for member names in a level to make them unique

As described in the earlier tutorial expressions can be created to distinguish the members of a level when member names are similar or the same. The expression can be a prefix or a suffix that makes the member name unique. This can be done by clicking the basic tab and selecting the Member Name Column and clicking on the ellipsis button and entering the expression in the Select Column dialog box that appears.

Properties of Levels

There are a large number of properties which are supported by the level interface. A few properties that are commonly used are listed below:

  1. AreMemberKeysUnique property indicates whether the members of a level are uniquely identified by their member key column.
  2. AreMemberNamesUnique property indicates whether the members of a level are uniquely identified by their member name column. 
  3. ColumnSize defines the size of the members in the level member key column.
  4. ColumnType defines the data type of the level member key column in an aggregation table.
  5. Description is the description of the level. 
  6. EnableAggregations determines whether aggregations can be created for a level in a dimension whose AggregationUsage property is set to dimAggUsageColumn. 
  7. EstimatedSize details the estimated number of members in a level.
  8. FromClause is the SQL FROM clause for a level. 
  9. IsDisabled indicates whether a level is disabled.
  10. IsValid indicates whether a level is valid.
  11. IsVisible indicates whether the level is visible to Client applications.
  12. JoinClause is the SQL JOIN clause for the level.
  13. LevelNamingTemplate defines how levels are named in a Parent Child hierarchy. 
  14. LevelType returns the enumeration constant that identifies the specific type of level.
  15. Name is the name of the level.
  16. Ordering specifies how the level should be ordered. 
  17. OrdinalPosition returns the ordinal position of the level in the collection of levels.
  18. SkippedLevelColumn identifies the column that holds the number of empty levels between a member and its parent in a parent child hierarchy. 
  19. SliceValue is the name of the level member used to define a partition slice.






 
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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