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Tharp says that being able to see what the market is doing right now, and to feel the pulse of the market, will make you a better trader To feel the pulse of the market, he relies on macroeconomic indicators such as Gross Domestic Product (GDP), job growth, and debt levels, besides just studying charts For the next several years, he foresees several deep economic crises, but it s still possible to find plenty of ways to make money, although not with buy-and-hold strategies It s important to observe what s going on at the time It s important to have a good idea about the big picture so that you don t get confused when market conditions change suddenly Prediction, however, has very little to do with making money

there are other common scenarios, such as when the state upon which the conditional logic must be based is set via a package configuration, and the first task in the package must be executed or skipped based on this state, where the natural package logic does not include a task from which the expression-based precedence constraints should originate. This can pose a predicament, because precedence constraints must originate from a task or container, and this type of conditional logic is implemented in SSIS by using precedence constraints and expressions. In situations such as these, a useful technique is to add a placeholder task one that serves as the starting point for precedence constraints to the control flow. Two obvious candidates for this placeholder role are the Script Task and the Sequence Container; each of these components will work without any configuration required, and won t alter the package logic.

password Use this parameter to lock down the protection with a password If you don t apply a password, the protection is worthless, as anyone can remove it without effort

Despite these limitations, expressions are still powerful tools within the SSIS data flow. Two data flow components the Derived Column transformation and the Conditional Split transformation both have expressions at their core. The Derived Column allows developers to add new columns to the data flow pipeline, with those columns values based on expressions set in the Transformation Editor. When working with data sources that do not allow calculations to be performed in the source query, such as text files, this ability is crucial to transforming the data before loading it into the destination database. The Conditional Split transformation allows developers to specify a set of Boolean expressions which are applied to each row passing through the data flow pipeline; it also allows developers to redirect rows to different transformation outputs based on these expressions, so that different processing can be applied to different rows. Figure 7 shows an example of the Conditional Split transformation at work, splitting data flow records into two outputs one for new orders placed within the last 30 days, and one for old orders. In addition to the expression-based functionality provided by the Conditional Split and Derived Column transformations, there are other, less obvious, opportunities to use expressions to add dynamic behavior to the SSIS data flow. But unlike the control flow where such opportunities are typically found with the label Expression, in the data flow these opportunities are usually found under the label Variable.

Even with a password, Excel s protection is relatively easy to break, especially as there are plenty of password crackers just a search away on the Internet The best way to prevent anyone untrustworthy from changing your workbooks is to keep the workbooks away from them for example, on a secure area of your network

Tharp says, There is only one secret to your success: You You completely create your results, so if you don t master yourself, you ll never be a good trader even if you have a great trading strategy

For example, the OLE DB Source component has a Data Access Mode property. This property must be set at design time, and cannot be set via an expression, but two of the four options Table Name or View Name Variable and SQL Command From Variable give you the ability to specify a variable name instead of a literal value. And because variables can be based on expressions, this means that the source query can be based on an expression as well. For example, consider an SSIS data flow based on the following source query, but which needs to process orders for only a single salesperson per execution: