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MS SQL

Posted Feb 12, 2007

Mastering Enterprise BI: Time Intelligence Pt. I - Page 8

By William Pearson

Review the Generated Schema, and the Table Supporting the Date Dimension, within MSSQL Server

One of the objectives of our practice session was to demonstrate the ease with which we can generate a schema (and, within our focus upon the Time dimension, a populated Date table for its support) that we design “from the top down” within Analysis Services. As a part of preparation, we created a target database within which to generate the schema that we designed. At this point, we will return to SQL Server Management Studio, to verify the creation of the tables involved, including the populated Date table, by taking the following steps:

1.  Click the Start button on the PC.

2.  Select Microsoft SQL Server 2005 within the Program group of the menu.

3.  Click SQL Server Management Studio, as we did in our preparatory steps earlier.

The Connect to Server dialog appears, after the brief Management Studio splash screen.

4.  Select Database Engine in the Server type selector, as we did before.

5.  Type / select the server name (server name / instance, if appropriate) in the Server name selector, once again.

6.  Supply the required authentication information.

7.  Click the Connect button to connect with the specified SQL Server Database Engine server, as we did in accessing the Management Studio earlier.

The SQL Server Management Studio opens.

8.  In the Object Explorer pane, expand the Databases folder appearing underneath the Database server within which we are working, once again.

The Databases folder opens, exposing the detected databases. We see the DBJ_Schema_Target database appear among those shown, as shown in Illustration 44.


Illustration 44: The DBJ_Schema_Target Database, among Other Databases within the Object Explorer

9.  Using the “+” sign to its immediate left, expand the DBJ_Schema_Target database.

10.  In like manner, expand the Tables folder that appears within the expanded DBJ_Schema_Target database, as necessary.

The tables within the folder appear, as depicted in Illustration 45.


Illustration 45: The Tables of the DBJ_Schema_Target Database Appear ...

We see that the target database contains each of the tables that we defined within the BI Development Studio. Let's take a look at the Date table, both from a structural viewpoint (as an example of the schema generated), and also because we expect it to be completely populated, based upon our settings within the Schema Generation Wizard in the procedures above.

11.  Right-click the table DBJ_Adventure Works DW.Date_1 within the Tables folder of the expanded DBJ_Schema_Target database.

12.  Select Modify from the context menu that appears, as shown in Illustration 46.


Illustration 46: Select Modify to Examine Table Structure ...

A tab named Table - DBJ_Adventure Works DW.Date_1 opens, displaying Column Names, Column Properties, and other information about the table. A portion of the tab appears as depicted in Illustration 47.


Illustration 47: Details for the New Date Table (Partial View)

Here, we might make modifications to this mechanically generated table, in scenarios where the local environment requires different settings, data types, and the like. We still would have enjoyed the benefit of rapid construction of the table, even if we faced a need to make modifications to some of the columns, etc.

13.  Right-click the table DBJ_Adventure Works DW.Date_1 within the Tables folder of the expanded DBJ_Schema_Target database, once again.

14.  Select Open Table from the context menu that appears, as shown in Illustration 48.


Illustration 48: Select Open Table to View the Populated Table ...

Another tab named Table - DBJ_Adventure Works DW.Date_1 opens, this time to the left of the tab that appeared previously, and displaying the table itself, together with the data that it contains. The new tab appears as partially depicted in Illustration 49.


Illustration 49: Data View of the New Date Table (Partial View)

The data view confirms that the table has, indeed, been populated. We can easily scroll down the tab to ascertain that the date ranges we have requested have been generated. We can modify the table as needed to “tune” it further to meet our immediate needs - or perhaps even use it as a basis for a Time dimension within a totally unrelated data warehouse or mart - having enjoyed the benefits, in the meantime, of full design and generation from a graphical user interface. These options alone present a compelling motivator for use of the Schema Generation Wizard in Analysis Services 2005.

15.  Further inspect the properties and data of the new Date dimension table, as desired.

16.  Select File -> Exit, when ready, to leave the SQL Server Management Studio as shown in Illustration 50.


Illustration 50: Exiting the SQL Server Management Studio

17.  Return to the BI Development Studio.

18.  Further inspect newly created Date (and other) dimensions, as well as the related Data Source View, together with their properties and other settings. Perform additional browses, as desired.

19.  Select File -> Save All from the main menu, to save our work through this point, as shown in Illustration 51.


Illustration 51: Saving All Work from Our Session

20.  Select File -> Exit, when ready, to leave the Business Intelligence Development Studio.

Conclusion

In this article, we explored various unique characteristics that distinguish a Time dimension from other dimensions within our cube models, as well as the special attention that has been given to the Time dimension, in general, within the design of enterprise business intelligence applications. We then narrowed our focus to the topic of this and the subsequent article: how this support has been enhanced in Analysis Services 2005;

We next performed preparation steps for the hands-on practice session that was to follow, creating an Analysis Services Project within which to perform the anticipated steps, and creating a target database within SQL Server Management Studio for the schema generation procedure we would also perform. We then concluded preparation by ascertaining connectivity of the relational data source, along with other preparatory procedures, within the new Analysis Services 2005 Project.

We next began the creation of a rudimentary cube via the “top down” approach (with no underlying data source in place), containing a Date dimension, upon which to base our general examination of a Time dimension. Once this was completed, we examined the structure of the new Time dimension within the design environment, discussing its various characteristics and settings. We then generated the underlying relational schema for the new cube model, including the generation of a Time table design, as well as its subsequent population, from within the cube model that it was designed to support. Finally, we reviewed the new Date dimension within the Dimension Designer, and then examined the generated schema, focusing upon the populated table supporting the Date dimension, within SQL Server Management Studio.

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

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



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