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Since shortly after the very first database was persisted to disk, database administrators everywhere have been asking questions like, Who did what to my data, and when did they do it It is in our nature to be curious about the way users utilize our systems in general. In some specific cases, it is important to track down exactly when a piece of data was changed, and who was responsible for the change. Before talking about the new features introduced in SQL Server 2008, it will be useful to briefly outline some of the key motivations for implementing an auditing or change tracking solution in the first place. One reason is compliance enforcement. Depending on your industry, you may be required to adhere to regulations for data access and privacy, for example Sarbanes-Oxley, HIPAA, or PCI-CISP. Even if you are not required to do so by law, you may still have an interest in recording information about all of the activity on your server. (For example, you may be interested in identifying specific activity, such as a delete operation that nobody will take credit for, without resorting to a log reader utility.) In the past, this could be accomplished by placing the server in C2 Audit Mode, which is an all-or-nothing approach, or by using SQL Trace. Both of these

TeamCity, like CCNet, provides detailed build information via a website and a tray application; it also gives you alternate ways to provide feedback. Configuring the different methods is decidedly easier than in CCNet. Let s start with TeamCity s web features.

Finally, let s implement the newVillain: and deleteVillain: methods, both of which we provided as stubs earlier. The newVillain: method adds a new empty villain object to our array of villains, tells the table to reload, and tells the table view which row to select (the last one, since that s the one we just added).

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To read the details of the book contained in the child elements, we select the relevant element with the Elementaxis method and use the explicit cast operators defined on XElement to convert the value to the proper data types. While this query gives us the basic details for our books, it doesn t include the data that is nested within child nodes, such as the list of authors and reviews. To include the authors, we can update our query to include a nested query that returns a list of Author objects that matches the author s details contained in the XML. Since the <author> elements are not directly below the <book> element, we can use the Descendants query axis method and once again use the object initializer syntax to build our author object with the data contained within the XML.

As shown earlier, T-SQL allows us to perform a wide range of text searches Still, a lot remains to be desired, especially with regard to misspellings If you want to find a set of records even if they have misspellings, or want to prevent misspellings, you need to perform fuzzy string comparisons, and Simil is one algorithm suited for that task One use for Simil is in data cleanup In one example, a company had a table with organic chemistry compounds, and their names were sometimes spelled differently The application presents the user with the current record and similar records The user can decide which records are duplicates, and choose the best one One button click later, all child records are pointed to the chosen record, and the bad records are deleted Then the user moves to the next record.

data-related wizards it will show them in a drop down, but you can provide Visual Studio with new connection details from within the wizard. For this walkthrough, we re going to connect to the AdventureWorksLT2008 sample database.

Each activation property is essentially a name-value pair that the underlying messaging provider understands and uses to set up the MDB. The best way to grasp how this works is through example. Here, we provide three of the most common JMS activation configuration properties: destinationType, connectionFactoryJndiName, and destinationName:

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