CA ERwin® Data Modeler Proven database design and modeling. Efficiently analyze, design and deploy effective database solutions. Whitepaper: Manage SQL Server Deployments Try it free: CA ERwin® Data Modeler

Solaris 8 Migration Assistant Rapidly move your Solaris 8 application environments to new systems running Solaris 10 with the Solaris 8 Migration Assistant. Reduce migration risk while taking advantage of increased performance, reliability and security of the latest SPARC hardware platforms and Solaris 10 OS. »   Sun Eco Innovation: Good for Business, Good for the Environment A complete solution to help you optimize and refresh your datacenter while properly recycling equipment and eliminating eWaste, including money-saving promotions to lower hardware acquisition costs. »   Sun Eco Innovation: Power Calculators Power consumption has increasingly become a priority in customer's minds when purchasing new systems or storage. Sun's Power Calculators provide data on power consumption of Sun products allowing IT managers to better plan the power requirements in the datacenter to achieve better energy and cost savings. »   Optimize the Web Tier: Consolidate to Get More Performance in Less Space and Lower Power Consumption Expansion in the Web tier is generally accomplished by adding more servers whenever extra capacity is needed. As the pool of servers grows larger, however, the complexity of the environment can grow exponentially. »

Production Manager (hands on) Aquent US-MA-Cambridge Post A Job | Post A Resume

September 10, 2002
Introduction to SQL Server 2000 Analysis Services: Working with Dimensions
By William Pearson

About the Series

This is the second article of the series, Introduction to MS SQL Server 2000 Analysis Services. As I stated in the first article, Creating Our First Cube, the primary focus of this series will be an introduction to the practical creation and manipulation of multidimensional OLAP cubes. The series is designed to provide hands-on application of the fundamentals of MS SQL Server 2000 Analysis Services ("Analysis Services"), with each installment progressively adding features 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.

Introduction

In the first article of the series, we used the Cube Wizard to build our first cube with the assistance of the Dimension Wizard. While the Dimension Wizard is a helpful tool for rapid cube design, we often come across scenarios where we have to take more direct control of the dimension design process. We accomplish this through the use of the Dimension Editor, which exposes numerous properties of a dimension that are not accessible to us through the use of the Dimension Wizard.

Using Analysis Services, we can create our basic dimensions through the use of the wizard, or we can use the manual Dimension and Cube Editors to build our dimensions -- and indeed, our entire cube structure, from scratch. (I often do a rapid design of an overall cube "skeleton"- a "draft setup," as it were, using the Wizards - which I then return to "fine tune" with the respective Editors. Using the Dimension Editor allows us to generate much more sophisticated cubes overall and to produce OLAP data sources that help us analyze more precisely the attributes of our business that we deem to be important.

In this article we will create dimensions similar to those with which we worked before, using the Dimension Editor to illustrate options for building a more customized cube. As we will see in the steps we undertake together, once we have created our dimensions, we can set and modify various properties for optimization and other purposes.

We will begin our exploration of dimensions by creating a database similar to the one we created in Lesson One, Creating Our First Cube. Database creation is ordinarily the first step in creating a cube. We will then work with two of the three main windows of Analysis Manager, the Main Console and the Dimension Editor (the Cube Editor, being the third of the main windows, does not play a significant role in this lesson), to recreate the dimensions we created via the Wizards in our first lesson. Our example will continue with the next two lessons, Handling Time Dimensions and Parent-Child Dimensions, leading to the fifth lesson, Working with the Cube Editor. In Lesson Five we will pull together the components constructed in Lessons Two through Four, to assemble a cube similar to, but more sophisticated than, the cube we generated in the first lesson.

In this article, we will:

• Create a new OLAP database;
• Become familiar with the Dimension Editor by creating a single-table dimension;
• Learn to use the Dimension Editor to manipulate dimensions, and the hierarchical levels that exist within dimensions;
• Create Multi-table Dimensions;
• Manipulate dimension and member properties, and discuss design and development characteristics for each.