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Connect the OLE DB connection adapter to the lookup transformation by clicking on the OLE DB Source, dragging the green arrow over the lookup, and dropping it. 3 Right-click the lookup transformation and click Edit (or double-click the lookup transformation) to edit. You should now see something like the example shown in figure 2. When the editor opens, click the New button beside the OLE DB Connection Manager drop-down (as you did earlier for the OLE DB source adapter). Define a new data connection this time to the SSISIncrementalLoad_Dest database. After setting up the new data connection and connection manager, configure the lookup transformation to connect to dbo.tblDest. Click the Columns tab. On the left side are the columns currently in the SSIS data flow pipeline (from SSISIncrementalLoad_Source. dbo.tblSource). On the right side are columns available from the lookup destination you just configured (from SSISIncrementalLoad_Dest.dbo.tblDest). We ll need all the rows returned from the destination table, so check all the check boxes beside the rows in the destination. We need these rows for our WHERE clauses and our JOIN ON clauses. We don t want to map all the rows between the source and destination only the columns named ColID between the database tables. The mappings drawn between the Available Input columns and Available Lookup columns define the JOIN ON clause. Multi-select the mappings between ColA, ColB, and ColC by clicking on them while holding the Ctrl key. Right-click any of them and click Delete Selected Mappings to delete these columns from our JOIN ON clause, as shown in figure 3.

might not be the exact bottom but that first high reading is a definite sign you should be looking for confirmation In other words, look for additional signs to support your contrarian belief, such as valuation, changes in earnings estimates, and chart formations If you graph the results on a chart, says Rotblut, you are looking for results that are at least two standard deviations away from the mean One standard deviation would be on the outer edge of normal Two standard deviations and members are feeling either scared they ll lose their portfolio or giddy by how much money they re making At three standard deviations, the survey really shines For example, one of the highest readings of all time was 70 percent bearishness The following year, the market zoomed up over 80 percent Typically, says Wayne Thorp, senior financial analyst of AAII and editor of Computerized Investing, when you start hitting 60 percent sentiment on the bearish or bullish side, your ears should perk up Historically, that means the market is hitting an extreme I think over the short term the market is completely driven by sentiment, Thorp cautions In case of extremes, the fundamentals tend to go out the window The survey seems to work as a contrarian indicator because it s not just the members who are feeling extreme emotion but also the majority of the people in the stock market And yet, it s hard to do the opposite of how you feel At a certain point, Rotblut explains, members succumb to irrational exuberance or are overwrought with fear about what is going on in the markets The hardest thing for someone to do is to buy low and sell high, even though study after study shows that you should be greedy when others are fearful and fearful when others are greedy, to paraphrase Warren Buffett When you re looking at the balance of your account plummeting, or you re looking at it jumping in value, it s really hard to take a stand against the tide It s human emotion One suggestion from Rotblut is that during the next bull market, write down what you will do in the next bear market When people are not under stress, they make rational decisions But when they are under stress, they tend to make irrational decisions They let their emotions take over.

Add the text Dest_ to each column s output alias. These rows are being appended to the data flow pipeline. This is so that we can distinguish between source and destination rows farther down the pipeline.