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f the Information Architecture Principle stated in 2 is true, then information is useful not only for daily operations, but also for current and future analysis. Hence, extract, transform, and load (ETL) processes collect data from the daily operations and store it in data warehouses using patterns organized for analysis, rather than daily operations. Cubes, MDX queries, and Reporting Services pull from the data warehouse and present the data for analysis. This whole process of analyzing historical and current data, both today and in the future, is the proactive side of IT and is collectively called business intelligence (BI). In the past four releases of SQL Server, Microsoft has been steadily growing SQL Server s BI services, and SQL Server 2008 brings to fruition years of planning and development. From the enterprise-grade ETL tool and the rich and easy-to-build cubes to the slick reporting interface, SQL Server 2008 is more than ready to help you conquer your BI requirements. BI, by de nition, does not exist in a vacuum. Not only is the data warehouse dependent on numerous operational databases, but the BI toolset frequently includes multiple tools from multiple vendors. While non-SQL Server tools are beyond the scope of this book, this part covers using Excel, the most popular data analysis tool on the planet, as a front end for SQL Server s BI suite. If you re an old hand at BI, then welcome to SQL Server 2008 s sweet BI suite. If you ve been around operational data for a while but never had the chance to work on the analysis side, welcome. If SQL Server is the box, Part X is about getting the box to talk.

Children with autism also tend to perform less well than children with learning difficulties on the seeing-leads-to-knowing task (Baron-Cohen and Goodhart, 1994). In this task children are shown a doll that touches a box,and one that looks inside the box. The children are then asked Which one knows what s inside the box The children with autism seemed to have greater difficulty than the children with learning difficulties in saying what kind of knowledge would be in

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Analysis of unstructured interviews can be time-consuming, though their contents can be rich. Typically each interview question is examined in depth in a similar way to observation data discussed in 12. A coding form may be developed, which may be predetermined or may be developed during data collection as evaluators are exposed to the range of issues and learn about their relative importance. Alternatively, comments may be clustered along themes and anonymous quotes used to illustrate points of interest. Tools such a NUDIST and Ethnograph can be useful for qualitative analyses as mentioned in 12. Which type of analysis is done depends on the goals of the study, as does whether the whole interview is transcribed, only part of it, or none of it. Data from structured interviews is usually analyzed quantitatively as in questionnaires which we discuss next.

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The actual string passed in the $0 variable is the entire path used for the program, not just the program name. If you want to write a script that performs different functions based on the name of the script run from the command line, you ll have to do a little work. You need to be able to strip off whatever path is used to run the script from the command line. Fortunately, there s a handy little command available for us that does just that. The basename command returns just the program name without the path. Let s modify the example script and see how this works:

$connstring = "Data Source=myServerAddress;Initial Catalog=myDataBase;Integrated Security=SSPI;" # or its equivalent $connstring = "Server=myServerAddress; Database=myDataBase;Trusted_Connection=True;" $cn = new-object system.data.SqlClient.SqlConnection($connstring)

1. Select Trust Center from the Tools menu. 2. Click E-mail Security. 3. In the Encrypted E-mail section, select the Add Digital Signature to Outgoing Messages option. 4. Click OK.

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