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Unlike the data warehouse, the operational environment s archival data is nonvoluminous and has a high probability of access In order to understand the role of fresh, nonvoluminous, high-probabilityof-access archival data in the operational environment, consider the way a bank works In a bank environment, the customer can reasonably expect to find information about this month s transactions Did this month s rent check clear When was a paycheck deposited What was the low balance for the month Did the bank take out money for the electricity bill last week The operational environment of a bank, then, contains very detailed, very current transactions (which are still archival).

Maximize the value of hydrocarbon resources Increase sustainable production Annual production targets and costs Minimize disruption to operations; no damage to plant or equipment Minimize disruption to operations Maintain asset or system condition and performance Cost-effective strategy Operating entities are involved Timely implementation and operation of project facilities Time, cost and performance related to budget Supply costs reduced by 10% Capital costs optimized Operating costs improved No losses, no increased or additional costs Low turnover, grow skills and experience Health, safety and environmental performance Minimize health, safety and environmental (HSE) risks during construction Health and safety performance Minimize health and safety risks during construction No injuries, fatalities or long-term health problems Environment and community performance Minimize environmental and community risks during construction No releases to the environment or public outrage Exceptional high performance Shareholder and public support and trust

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Is it reasonable to expect the bank to tell the customer whether a check was made out to the grocery store 5 years ago or whether a check to a political campaign was cashed 10 years ago These transactions would hardly be in the domain of the operational systems of the bank These transactions are very old, and so the data has a very low probability of access The operational window of time varies from industry to industry and even in type of data and activity within an industry For example, an insurance company would have a very lengthy operational window from 2 to 3 years The rate of transactions in an insurance company is very low, at least compared to other types of industries There are relatively few direct interactions between the customer and the insurance company.

6. Invert the mask by pressing Ctrl+I. So far, I selected the TV, but I really want to edit the background. So I pressed Ctrl+I to invert the mask and inverse the prospective selection. 7. Press Q to exit the quick mask mode. Ah, back in the workaday world of marching ants. 8. Apply the desired effect. I copied a zebra-skin pattern from another image. Then I chose Edit Paste Into (Ctrl+Shift+V) to paste the pattern inside the selection. Photoshop created a new layer with layer mask. After Ctrl-dragging the pattern into position, I applied the Overlay blend mode to achieve the effect shown in Figure 10-35. Thanks to my expanded and softened selection outline, the stripes fade toward the television without ever quite touching it. As I said, you can achieve this effect using Select Modify Expand and Feather, but unless you have a special aversion to the quick mask mode, it s easier to be sure of your results when you can see exactly what you re doing.

unning several threads is similar to running several different programs concurrently, but with the following benefits: Threads can easily share data, so writing threads that cooperate is simpler than making different programs work together. Threads do not require much memory overhead; they are cheaper than processes. (In the UNIX world, threads are often called light-weight processes.)

Summary

The operational window for the activities of a bank, on the other hand, is very short from 0 to 60 days A bank has many direct interactions with its customers The operational window of a company depends on what industry the company is in In the case of a large company, there may be more than one operational window, depending on the particulars of the business being conducted For example, in a telephone company, customer usage data may have an operational window of 30 to 60 days, while vendor or supplier activity may have a window of 2 to 3 years..