Mastering Enterprise BI: Extend the Data Source with Named Calculations, Pt. II - Page 8

April 10, 2006

5.  Click Close to dismiss the viewer.

6.  Click Close to dismiss the Process Cube dialog.

We can get to the Browser, at this stage, and see the effects of our handiwork within the cube, by taking the following steps.

7.  Click the ANSYS045 - Named Calculations.cube tab within the design environment, once again.

8.  Click the Browser tab within the Cube Designer, as shown in Illustration 49.

Click for larger image

Illustration 49: Click the Browser Tab ...

9.  Select Cube ---> Reconnect from the main menu, as depicted in Illustration 50, to ensure that we are browsing an updated copy.


Illustration 50: Reconnect the Cube ... "To Ensure Freshness"

10.  Within the tree appearing inside the Metadata pane to the left, expand Dim Sales Territory by clicking the "+" sign to its immediate left.

11.  Drag Dim Sales Territory.Sales Territory Group to the area marked Drop Row Fields Here within the pivot table area, as shown in Illustration 51.


Illustration 51: Creating a PivotTable Browse ...

12.  Within the Metadata pane, once again, expand Aged Periods.

13.  Drag Hierarchy to the area marked Drop Column Fields Here within the pivot table area.

14.  Expand Measures.

15.  Expand the Fact Reseller Sales folder.

16.  Drag Sales Amount to the area marked Drop Totals or Detail Fields Here within the pivot table area.

17.  The Browser pivot table area appears as depicted in Illustration 52.


Illustration 52: The Browser Pivot Table with Additions ...

We can see that the Sales Amounts totals appear within their respective "aging buckets."

18.  Expand the < 30 "aging bucket," by clicking the "+" sign to its immediate left.

The < 30 Aged Period expands to reveal the totals, by Ship Date, that make it up, as partially shown in Illustration 53.


Illustration 53: The Sales Amounts Totaled by Sales Date (Partial View)

We can visualize an array of reporting capabilities at this point, once we add formatting, subtotal and other nuances. For now, we will conclude our article, having focused upon the construction of one approach to the creation of an aging capability, using Named Calculations to extend the data underlying our cube to afford us a presentation capability that we might not otherwise have had.

19.  Examine other features of the Aged Period dimension within the Cube Browser as desired.

20.  Select File --> Save All from the main menu, to save our work through this point, as depicted in Illustration 54.


Illustration 54: Saving Our Work from the Session

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

Conclusion

In this "second half" of a two-part article, we continued the examination of Named Calculations we began in Mastering Enterprise BI: Extend the Data Source with Named Calculations, Pt. I. We briefly summarized our introduction in Part I, where we focused initially upon the Data Source View as a significant design and development enhancement within Analysis Services, and then overviewed our stated objective to examine Named Calculations. Moreover, we reviewed our initial steps in the construction of working examples, based upon an illustrative business need to create "aging buckets" within our cube to support a reporting and analysis capability.

In this article, we returned to the Named Calculations we had created in Part I, and next created a Cube containing data from our sample relational tables. We then added a Dimension based upon two of our Named Calculations, to contain "aging buckets. We reviewed our new Aged Periods dimension to ascertain that its structure appeared as expected, and then we deployed our solution, and processed our cube. Finally, we browsed the Cube, focusing on the new aging dimension structures, to verify their operation within the design environment.

» 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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