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Archive for June, 2010

Passing database names to SSIS stored procedures

June 29th, 2010
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In the rare cases when we use dynamic SQL and want to use a database name in our code, we are better off avoiding hard-coding them. Unfortunately, I could not find an easy way to access a connection manager’s database name and on my current project the catalog name is not in the SSIS configurations XML file. Therefore, I had to resort to a little trick to pull the database name out and pass it to a stored procedure. In brief we can do the following:

1. Create a user variable database_name

2. Create an Execute SQL Task using the connection manager we want to get the database name from, which does:

 SELECT db_name() AS database_name

3. Map the Single Row result set to our database_name variable 

4. Place the task created in the previous step before any components which would be using the variable.

5. Pass the variable to our dynamic SQL stored procedure

 

 

There we go – a stored procedure configured in the SSIS package configurations – a bit better than just hard-coding the name.

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PowerPivot DAX Measures in a Data Source

June 8th, 2010
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OK, my doubts aside, this is my first post about PowerPivot. Obviously the demand is high and the perspectives bright – so here we go…

There are a number of posts about using PowerPivot as a datasource in PerformancePoint and Reporting Services. You can find two links below (both at TechNet) and I will not repeat the content there:

 

There you can find a detailed step-by-step approach to using published to SharePoint PowerPivot workbooks in your reports. One thing which is not explained, though, is that you can also use any published DAX measures as report data sources, as well. They appear as physical measures in the PowerPivot Analysis Services instance and can be directly used in the reports. I found this fascinating, as now we can actually integrate even user logic into our reports.

In example, today I was working on a small demo of PowerPivot and I created a PowerPivot report integrating a relational data source and an OLAP data source from two completely different systems, which then got related to each other by State/Province . After that, I created a DAX ratio measure, which showed some relation between the Sales measures from each database. After publishing the workbook to SharePoint, I opened Report Builder 3.0 and to my surprise (well, I expected to see only physical measures for some reason), I was able to pull the DAX measure which I had just created and beautify the map of the USA based on its value.

The integration between the various components in the Microsoft BI stack is continually improving and with the latest few versions of the various components (labelled 2010 or R2), we are being empowered with richer and more powerful tools, covering a larger array of users – proving that the toolset is the best out there for both enterprise-level and relatively smaller customers.

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