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According to common wisdom, business logic has no business in the database. If the point is to keep messy hard-coded logic out of T-SQL code, I agree, but business logic is most flexible when it s pushed down from the application front end, down past the data access layer, down deeper than the stored procedure layer, down past the database schema, all the way into the data. The best place for business logic is in the data. Every variable in the business formula should be stored in the database rather than coded in any programming language. The behavior of the application is then determined not by .NET code, or T-SQL case expressions, but by the data. Joining from the current data set to the businessrules data sets can dynamically plug the correct values into the business formula for the appropriate row. An admin application can modify the business-rule data at any time without code changes. This is the freedom and elegance that a data-driven database adds to the application.

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Concept A parasitic element is a conductor that forms an important part of an antenna system, but is not directly connected to the feed line Parasitic elements operate by means of EM coupling to the driven element When gain is produced in the direction of the parasitic element, the element is a director When gain is produced in the direction opposite the parasitic element, the element is a reflector Directors are a few percent shorter than the driven element; reflectors are a few percent longer Yagi The Yagi antenna, sometimes called a beam, is an array of parallel, straight elements A twoelement Yagi is formed by placing a director or a reflector parallel to, and a specific distance away from, a single /2 driven element The optimum spacing for a driven-element/director Yagi is 01 to 02 , with the director tuned 5 percent to 10 percent higher than the resonant frequency of the driven element The optimum spacing for a driven-element/reflector Yagi is 015 to 02 , with the reflector tuned 5 percent to 10 percent lower than the resonant frequency of the driven element The gain of a well-designed two-element Yagi is approximately 5 dBd A Yagi with one director and one reflector, along with the driven element, increases the gain and f/b ratio compared with a two-element Yagi An optimally designed three-element Yagi has approximately 7 dBd gain An example is shown in Fig 27-10 (This drawing should not be used as an engineering blueprint) The gain, f/b ratio, and f/s ratio of a properly designed Yagi antenna all increase as elements are added This is usually done by placing extra directors in front of a three-element Yagi Each director is slightly shorter than its predecessor Quad A quad antenna operates according to the same principles as the Yagi, except full-wavelength loops are used instead of straight half-wavelength elements.

Perhaps the most egregious error in SQL Server development is the T-SQL cursor. Nearly everyone has heard how evil cursors are. Writing a database cursor is like going to the bank and depositing a million dollars, one dollar at a time, using a million tiny deposits. In the set-based solution, you just hand over a million one dollar bills at once. The same work is done (the money is counted and deposited) but the teller will not have to have a separate conversation with you for each piece of paper. The performance difference is obvious, and you are saving 999,999 deposit slips to boot. Typically a set-based solution will perform a magnitude better than an iterative solution and will scale significantly better. There are times when writing a cursor is the best technique when the logic depends on the order of the rows, or when the code is iterating though DDL code

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this method isn t nearly as good as having constraints in the same database, but as long as you understand that you have to be careful with cross-database references, it s definitely usable Intra-table, inter-row constraints These are used when you need to see that the sum of a column value over multiple rows is less than some value (possibly in another table) You can use a constraint with a function, but the query will be executed once per row modified, whereas a trigger need only run the query a single time Inter-table constraints When a value in one table relies on the value in another, triggers are useful for checking for correct values This might also be written as a functions-based CHECK constraint, but it s often more maintainable to use a trigger.