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known formats for part numbers. As new products are added to the known good source of part numbers, new patterns will be included in the profile, and the rule will be adjusted dynamically. It s worth noting that this type of data-quality check is often implemented as a soft rule, so the row is not prohibited from entering the data warehouse. After all, the manufacturer may have implemented a new part-numbering scheme, or the part number could have come from a new manufacturer that is not in the Product dimension yet. Instead of redirecting the row to an error table, you might set a flag on the row indicating that there is a question as to the quality of the information, but allow it to enter the data warehouse anyway. This would allow the part number to be used for recording sales of that product, while still identifying a need for someone to follow up and verify that the part number is correct. Once they have validated the part number, and corrected it if necessary, the questionable data flag would be removed, and that product could become part of the known good set of products. The next time that you generate a Column Pattern profile against the part numbers, the new pattern will be included, and new rows that conform to it will no longer be flagged as questionable. As mentioned earlier, implementing this type of logic in your ETL process can allow it to dynamically adjust data-quality rules over time, and as your data quality gets better, the ETL process will get better at flagging questionable data. Now let s take a look at how to use the task output in the package.

Time period: Weekly survey The Lighter Side: The AAII Sentiment Survey, which I nicknamed The Little Guy, will keep you out of trouble when the markets get extreme A little secret: do the opposite of the little guy

As mentioned earlier, the Data Profiling task produces its output as XML, which can be stored in a variable or a file. This XML output will include both the profile requests and the output profiles for each request.

save workbook as this_book filename "Shared:Spreads:Excel:Recruitment Tacticsxls" file format Excel98to2004 file format without add to most recently used list

If you are planning to use the output in the same package that the profiling task is in, you will usually want to store the output XML in a package variable. If the output will be used in another package, how you store it will depend on how the other package will be executed. If the second package will be executed directly from the package performing the profiling through an Execute Package task, you can store the output in a variable and use a Parent Package Variable configuration to pass it between the packages. On the other hand, if the second package will be executed in a separate process or at a different time, storing the output in a file is the best option. Regardless of whether the output is stored in a variable or a file, it can be accessed in a few different ways. Because the output is stored as XML, you can make use of the XML task to use it in the control flow, or the XML source to use it in the data flow. You can also use the Script task or the Script component to manipulate the XML output directly using .NET code.

AAII polls their members via the Internet to find out how the members feel the stock market will do over the next six months: bullish, bearish, or neutral

After you ve saved a workbook with a filename and folder location, you can save it again by using the save command with the workbook object (so Excel knows which workbook you re referring to) but without any further parameters For example, the following command saves any unsaved changes in the active workbook: