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the columns in the table. Fortunately, the task is smart enough to only run profiles across columns with compatible data types. For example, using the Column Pattern profile with a wildcard for columns will only profile string columns. As with most tasks in SSIS, there is an editor in the Business Intelligence Development Studio (BIDS) environment that allows you to set the properties for each profile. The Profile Requests page of the editor is pictured in figure 1. You can use the Quick Profile button located on the General page of the editor to easily define multiple profiles, for either a specific table or an entire database. The settings for the profiles are stored in the ProfileRequests property of the task, which is a collection of all the profile requests. Behind the scenes, the profile requests collection is converted to an XML document that conforms to the XML Schema located at http:/ /schemas.microsoft.com/sqlserver/2008/DataDebugger/ DataProfile.xsd. We ll use this XML later in this chapter when we configure the task to be dynamic.

Slow STO %K (14) %D (3) 7833, 8816 %K Line %D Line $SPX (Daily) 109531

When the Data Profiling task is executed, it produces XML output that conforms to the DataProfile.xsd schema for the profile settings that are input. This XML can be directed to a file by using a file connection manager, or it can be stored in a variable

To give yourself a direct handle on the new workbook, use a set statement to assign it to a variable, as in the next example, which uses the x_book variable You can then use the variable to refer to the workbook rather than finding it through the workbooks list

inside the package. Typically, you will store the XML in a file if you are profiling data to be reviewed by a person at a later time, and plan on using the Data Profile Viewer application to review it. Storing the XML output in a variable is most often done when you want to use the profile information later in the same package, perhaps to make an automated decision about data quality. The XML output includes both the profile requests (the input to the task) and the output from each profile requested. The format of the output varies depending on which profile generated it, so you will see different elements in the XML for a Column Null Ratio profile than you will for a Column Length Distribution profile. The XML contains a lot of information, and it can be difficult to sort through to find the information you are looking for. Fortunately, there is an easier user interface to use. The Data Profile Viewer, shown in figure 2, provides a graphical interface to the data profile information. You can open XML files generated by the Data Profiling task in it and find specific information much more easily. In addition, the viewer represents some of the profile information graphically, which is useful when you are looking at large quantities of data. For example, the Column Length Distribution profile displays the count associated with specific lengths as a stacked bar chart, which means you can easily locate the most frequently used lengths.

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A blank workbook can be good when you re starting from scratch, but often you ll want to give your workbook a head start by basing it on either a template or on an existing workbook Let s look at how to do that next