ARTICLES ...

Introduction to MSSQL Server Analysis Services

Creating Our First Cube
Working with Dimensions
Handling Time Dimensions
Parent-Child Dimensions
Working with the Cube Editor
Exploring Virtual Cubes
Custom Cubes: Financial Reporting
Custom Cubes: Financial Reporting - Part II
Drilling Through to Details: From Two Perspectives
Reporting Options for Analysis Services Cubes:            MS Excel
Reporting Options for Analysis Services Cubes: MS FrontPage
Reporting Options for Analysis Services Cubes: Cognos PowerPlay
Build a Web Site Traffic Analysis Cube: Part I
Build a Web Site Traffic Analysis Cube: Part II
MSAS Administration and Optimization: Simple Cube Usage Analysis
MSAS Administration and Optimization: Toward More Sophisticated Analysis
Using Calculated Cells in Analysis Services, Part I
Using Calculated Cells in Analysis Services, Part II
Reporting Options: ProClarity Professional, Part I
Reporting Options: ProClarity Professional, Part II
Putting Actions to Work in Regular Cubes
Actions in Virtual Cubes
Introduction to Local Cubes
Another Approach to Local Cube Design and Creation
Creating a Dynamic Default Member
Derived Measures vs. Calculated Measures
Basic Storage Design
Partitioning a Cube in Analysis Services - An Introduction
Performing Incremental Cube Updates - An Introduction
Semi-Additive Measures and Periodic Balances
Distinct Count Basics: Two Perspectives
Manage Distinct Count with a Virtual Cube
Point-and-Click Cube Schema Simplification

MDX, optimization, Performance, optimization, Island Technologies Inc., Bill Pearson, William E. Pearson, III,

Dimension, Query, Cognos, Business Objects, Reporting Services, Conversion, Design, Cube, model

Handling Time Dimensions

In the first article of the series, we used the Cube Wizard to build an initial cube with the assistance of the Dimension Wizard. Included in the dimensions we built through this wizard-guided process was a calendar time dimension. In this article we will recreate the calendar time dimension, this time focusing on the process through which the Dimension wizard converts existing time / date fields to a time dimension, along with its hierarchy of levels and members.

Next, we will expose ways to customize the predefined, time-related properties that the wizard establishes in building the time dimension, suggesting options for customization of these properties to enhance the cube, from the dual perspectives of user-friendliness and the reporting needs of the organization. We will create an example of an alternate time dimension for fiscal time reporting, and then we will discuss some of the considerations surrounding the simultaneous housing of both hierarchies in the same OLAP cube structure.

In this article, we will:

  • Discuss briefly the sources of time dimension data;
  • Recreate the calendar time dimension that we built “automatically” in Lesson One;
  • Examine the setpoints of the time–related properties that the Dimension Wizard generates as part of the dimension build process;
  • Explore the expressions that the Dimension Wizard puts into place to create hierarchical levels from a date / time column;
  • Modify the dimension properties to facilitate ease of use by Information Consumers;
  • Customize the time dimension hierarchy to fit the business environment;
  • Create a fiscal year time hierarchy;
  • Explore considerations with regard to handling multiple time hierarchies in the same cube.

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SYNOPSIS & CONCEPTS :
 Synopsis:

MSAS Architect Bill Pearson leads recreation of the calendar time dimension, focusing on the process through which the Dimension wizard converts existing time / date fields to a time dimension, along with its hierarchy of levels and members. We customize the time-related properties that the wizard establishes, and suggest options for property customization to enhance cube user-friendliness and the satisfaction of enterprise reporting needs. We create an example of an alternate time dimension for fiscal time reporting, and then discuss considerations surrounding the simultaneous housing of both hierarchies in the same OLAP cube structure.

Concepts:
  • Analysis Services

  • Dimension

  • Dimension Editor

  • Dimension Properties

  • Time Dimension

  • Alternate Time Dimension

 

 

 

About the Series:

This article is a member of the series Introduction to MSSQL Server 2000 Analysis Services. The series is designed to provide hands-on application of the fundamentals of MS SQL Server 2000 Analysis Services, with each installment progressively adding features and techniques designed to meet specific real - world needs. For more information on the series, as well as the hardware / software requirements to prepare for the exercises we will undertake, please see my initial article, Creating Our First Cube.

Analysis Services, Dimension, Dimension Editor, Dimension Properties, Time Dimension, Alternate Time Dimension
All Contents Copyright Island Technologies Inc.
®  Island Technologies® and Island Technologies Inc.®  are registered trademarks of Island Technologies Inc., protected in the United States and other countries.  For information, contact Island.

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