Dimension Attributes: Introduction and Overview, Part I - Page 3

March 13, 2008

As we can see within the list that appears next, selection options for Discretization Method includes:

  • None - the default;
  • Automatic Analysis Services determines which discretization method to use;
  • EqualAreas – The algorithm divides the data into groups that contain an equal number of values. (This method is best used for normal distribution curves, but does not work well if the distribution includes a large number of values that occur in a narrow group in the continuous data);
  • Clusters – The algorithm divides the data into groups by sampling the training data, initializing to a number of random points, and then running several iterations of the Microsoft Clustering algorithm using the Expectation Maximization (EM) clustering method. (The Clusters method can only be used with numeric columns.) The Clusters method is useful because it works on any distribution curve, although it requires more processing time than the other discretization methods.

Advanced Property: EstimatedCount

We use EstimatedCount to specify the estimated number of members within the attribute. This value defaults to zero, until we first run the Aggregation Design Wizard. Thereafter, the number is either the amount last counted by Analysis Services, or a user-provided estimate of the member count. That is, we can either manually enter an estimated value, or we can allow the wizard to count the number of records for us. (We can enter a value manually in those cases where we know the number, and want to save the time it takes to query the database for the count.)

Advanced Property: IsAggregatable

IsAggregatable allows us to specify whether the values of the attribute members can be aggregated within a hierarchy. The default value is True, which means that the attribute hierarchy contains an (All) level. If the value for this property is False, the attribute hierarchy does not contain an (All) level.

Advanced Property: OrderBy

The OrderBy property affords us a means of describing how the members contained in the attribute hierarchy should be ordered. The default value is Name, which specifies that ordering of the attribute members is based on the value of the NameColumn property, if any. If the NameColumn property is empty, members are ordered by the value of the key column.

7.  Click the selector button (the downward pointing arrow shown circled in Illustration 11) to the right of the setting box for the OrderBy property.


Illustration 11: Click the Selector Button to the Right of the OrderBy Property

As we can see within the list that appears next, the entire set of options that we can specify as a basis for ordering includes the following:

  • Key Order by the value of the key column of the attribute member;
  • Name - Order by the value of the NameColumn property (the default, as we have noted);
  • AttributeKey - Order by the value of the member key of a specified attribute, which must have an attribute relationship to the attribute;
  • AttributeName - Order by the value of the member name of a specified attribute, which must have an attribute relationship to the attribute.

NOTE: For hands-on exposure to sorting attribute members by a secondary attribute name or key, please see my article Alternatively Sorting Attribute Members in Analysis Services 2005 within this Database Journal series.

Advanced Property: OrderByAttribute

The OrderByAttribute property allows us to identify the attribute by which we wish to order the members of the attribute hierarchy (assuming we have selected AttributeKey or AttributeName within the OrderBy property discussed above).

8.  Click the selector button (the downward pointing arrow) to the right of the setting box for the OrderByAttribute property, shown circled in Illustration 12.


Illustration 12: Click the Selector Button to the Right of the OrderByAttribute Property

As we can see from the list of options that appears, we can order by attributes which have an attribute relationship with the attribute we are ordering (in this case, Geography Key).

We will extend our introductory examination of dimension attributes, specifically continuing our discussion with the Basic, Misc, Parent-Child and Source groups of properties, within Part II of this article.

NOTE: Please consider saving the project we have created to this point for use in subsequent related articles of this subseries, so as to avoid the need to repeat the preparation process we have undertaken initially, to provide a practice environment.

9.  Select File -> Save All to save our work, up to this point, within the originally chosen location, where it can be easily accessed for our activities within subsequent articles of this subseries.

10.         Select File -> Exit to leave the design environment, when ready, and to close the Business Intelligence Development Studio.

Conclusion

In this, the first half of a two-part article introducing dimension attributes, we continued our current subseries focusing upon dimensional model components, with an objective of discussing the associated concepts, and of providing hands-on exposure to the properties supporting each. We reviewed our initial introduction to the dimensional model and summarized its role in meeting the primary objectives of business intelligence. Next, we provided a brief overview of dimension attributes in general.

Having covered the general characteristics and purposes of attributes, we began our focus upon the properties underlying them, based upon the examination of a representative attribute within our sample cube. In this article, we discussed the Advanced group of properties. Finally, we looked forward to Part II of this article, where we explore the remaining attribute properties, those belonging to the Basic, Misc, Parent-Child and Source groups.

» See All Articles by Columnist William E. Pearson, III

Discuss this article in the MSSQL Server 2000 Analysis Services and MDX Topics Forum.

Introduction to MSSQL Server Analysis Services Series
Introduction to Security in Analysis Services
Cube Storage: Planning Partitions from a SQL Server Management Studio Perspective
Cube Storage: Planning Partitions (Business Intelligence Development Studio Perspective)
Cube Storage: Introduction to Partitions
Introduction to Cube Storage
Attribute Discretization: Customize Grouping Names
Attribute Discretization: Using the "Clusters" Method
Attribute Discretization: Using the "Equal Areas" Method
Attribute Discretization: Using the Automatic Method
Introduction to Attribute Discretization
More Exposure to Settings and Properties in Analysis Services Attribute Relationships
Attribute Relationships: Settings and Properties
Introduction to Attribute Relationships in MSSQL Server Analysis Services
Attribute Member Values in Analysis Services
MSSQL Analysis Services - Attribute Member Names
Attribute Member Keys - Pt II: Composite Keys
Attribute Member Keys - Pt 1: Introduction and Simple Keys
Dimension Attributes: Introduction and Overview, Part V
Dimension Attributes: Introduction and Overview, Part IV
Dimension Attributes: Introduction and Overview, Part III
Dimension Attributes: Introduction and Overview, Part II
Dimension Attributes: Introduction and Overview, Part I
Dimensional Model Components: Dimensions Part II
Dimensional Model Components: Dimensions Part I
Manage Unknown Members in Analysis Services 2005, Part II
Manage Unknown Members in Analysis Services 2005, Part I
Alternatively Sorting Attribute Members in Analysis Services 2005
Introduction to Linked Objects in Analysis Services 2005
Distinct Counts in Analysis Services 2005
Positing the Intelligence: Conditional Formatting in the Analysis Services Layer
Administration and Optimization: SQL Server Profiler for Analysis Services Queries
Mastering Enterprise BI: Time Intelligence Pt. II
Mastering Enterprise BI: Time Intelligence Pt. I
Design and Documentation: Introducing the Visio 2007 PivotDiagram
Actions in Analysis Services 2005: The URL Action
Actions in Analysis Services 2005: The Drillthrough Action
Mastering Enterprise BI: Introducing Actions in Analysis Services 2005
Mastering Enterprise BI: Introduction to Translations
Mastering Enterprise BI: Introduction to Perspectives
Introduction to the Analysis Services 2005 Query Log
Mastering Enterprise BI: Working with Measure Groups
Mastering Enterprise BI: Introduction to Key Performance Indicators
Mastering Enterprise BI: Extend the Data Source with Named Calculations, Pt. II
Mastering Enterprise BI: Extend the Data Source with Named Calculations, Pt. I
Process Analysis Services Objects with Integration Services
Usage-Based Optimization in Analysis Services 2005
Introduction to MSSQL Server Analysis Services: Named Sets Revisited
Introduction to MSSQL Server Analysis Services: Migrating an Analysis Services 2000 Database to Analysis Services 2005
Introduction to MSSQL Server Analysis Services: Introducing Data Source Views
Introduction to MSSQL Server Analysis Services: Reporting Options for Analysis Services Cubes: MS Excel 2003 and More ...
Introduction to MSSQL Server Analysis Services: Mastering Enterprise BI: Create Aging "Buckets" in a Cube
Introduction to MSSQL Server Analysis Services: Mastering Enterprise BI: Relative Time Periods in an Analysis Services Cube, Part II
Introduction to MSSQL Server Analysis Services: Mastering Enterprise BI: Relative Time Periods in an Analysis Services Cube
Introduction to MSSQL Server Analysis Services: Process Analysis Services Cubes with DTS
Introduction to MSSQL Server Analysis Services: Presentation Nuances: CrossTab View - Same Dimension
Introduction to MSSQL Server Analysis Services: Point-and-Click Cube Schema Simplification
Introduction to MSSQL Server 2000 Analysis Services: Manage Distinct Count with a Virtual Cube
Introduction to MSSQL Server 2000 Analysis Services: Distinct Count Basics: Two Perspectives
Introduction to MSSQL Server 2000 Analysis Services: Semi-Additive Measures and Periodic Balances
Introduction to MSSQL Server 2000 Analysis Services: Performing Incremental Cube Updates - An Introduction
Introduction to MSSQL Server 2000 Analysis Services: Partitioning a Cube in Analysis Services - An Introduction
Introduction to MSSQL Server 2000 Analysis Services: Basic Storage Design
Introduction to MSSQL Server 2000 Analysis Services: Derived Measures vs. Calculated Measures
Introduction to MSSQL Server 2000 Analysis Services: Creating a Dynamic Default Member
Introduction to MSSQL Server 2000 Analysis Services: Another Approach to Local Cube Design and Creation
Introduction to MSSQL Server 2000 Analysis Services: Introduction to Local Cubes
Introduction to MSSQL Server 2000 Analysis Services: Actions in Virtual Cubes
Introduction to MSSQL Server 2000 Analysis Services: Putting Actions to Work in Regular Cubes
Introduction to MSSQL Server 2000 Analysis Services: Reporting Options for Analysis Services Cubes: ProClarity Part II
Introduction to MSSQL Server 2000 Analysis Services: Reporting Options for Analysis Services Cubes: ProClarity Professional, Part I
Introduction to MSSQL Server 2000 Analysis Services: Using Calculated Cells in Analysis Services , Part II
Introduction to MSSQL Server 2000 Analysis Services: Using Calculated Cells in Analysis Services, Part I
Introduction to MSSQL Server 2000 Analysis Services: MSAS Administration and Optimization: Toward More Sophisticated Analysis
Introduction to MSSQL Server 2000 Analysis Services: MSAS Administration and Optimization: Simple Cube Usage Analysis
Introduction to MSSQL Server 2000 Analysis Services: Build a Web Site Traffic Analysis Cube: Part II
Build a Web Site Traffic Analysis Cube: Part I
Reporting Options for Analysis Services Cubes: Cognos PowerPlay
Reporting Options for Analysis Services Cubes: MS FrontPage 2002
Reporting Options for Analysis Services Cubes: MS Excel 2002
Introduction to MSSQL Server 2000 Analysis Services: Drilling Through to Details: From Two Perspectives
Introduction to MSSQL Server 2000 Analysis Services: Custom Cubes: Financial Reporting - Part II
Introduction to MSSQL Server 2000 Analysis Services Custom Cubes: Financial Reporting (Part I)
Introduction to SQL Server 2000 Analysis Services: Exploring Virtual Cubes
Introduction to SQL Server 2000 Analysis Services: Working with the Cube Editor
Introduction to SQL Server 2000 Analysis Services: Parent-Child Dimensions
Introduction to SQL Server 2000 Analysis Services: Handling Time Dimensions
Introduction to SQL Server 2000 Analysis Services: Working with Dimensions
Introduction to SQL Server 2000 Analysis Services: Creating Our First Cube








The Network for Technology Professionals

Search:

About Internet.com

Legal Notices, Licensing, Permissions, Privacy Policy.
Advertise | Newsletters | E-mail Offers