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ntegration Services is most commonly described as an extract-transform-load (ETL) tool. ETL tools are traditionally associated with preparing data for warehousing, analysis, and reporting, but Integration Services represents a step beyond the traditional role. It is really a robust programming environment that happens to be good at data and database-related tasks. Many prospective users have been intimidated by the Integration Services learning curve, sticking to the Transact-SQL that they know instead of investigating a more powerful ETL tool. This has made traditional SQL approaches one of the largest competitors of Integration Services, but those who take the time to understand this tool will nd several advantages: Simple, fast methods for moving large quantities of data, minimizing database load, and batching data into destination tables to keep blocking and transaction log sizes down The capability to chain together many tasks, with complete control over ordering and error and exception handling. Many tasks can be executed in parallel. Connections to read or write most any type of data without special programming or linked server calls Common data and database management tasks are implemented without the need to write code; a .NET scripting environment is available for more custom tasks, plus Integration Services is fully extensible with custom assemblies. Resulting packages are as manageable as the situation requires, with several deployment, con guration, auditing, restart, and logging options.

Finally, we consider the generalization of the integral in paragraphs 7 of this appendix [(5A.58) (5A.60) and related text] to an L-fold product of factors in the integrand where again the powers of each factor are restricted to be integer. The approach taken to obtain a closed-form result is to rst express the product form of the integrand in a partial-fraction expansion whereupon the resulting terms can each be integrated using the result in (5A.4a). Applying the residue theorem, it is straightforward to show that

<SOAP-ENV:Envelope xmlns:SOAP-ENV= http://schemas.xmlsoap.org/soap/envelope/ xmlns:xsi= http://www.w3c.org/2001/XMLSchema-instance xmlns:xsd= http://www.w3c.org/2001/XMLSchema SOAP-ENV:encodingStyle = http://schemas.xmlsoap.org/soap/encoding/ > <SOAP-ENV:Header> </SOAP-ENV:Header> <SOAP-ENV:Body> <m:GetBookPrice xmlns:m= http://www.wiley.com/jws.book.priceList > <bookname xsi:type= xsd:string > Developing Java Web services</bookname> </m:GetBookPrice> </SOAP-ENV:Body> </SOAP-ENV: Envelope>

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The Border panel adds a border to a single child element which of course can be another panel containing many child elements. You can give the border curved corners by specifying the corner radius property, as shown in Figure 18.21. You can assign a width and brush to the stroke of the border, as well as assign a brush to its background. And you can set margins for the child element. Here are some considerations when using the Border panel: n The Border panel automatically resizes its child element to the size of the panel, although you can specify in the Layout palette that the child element resizes to a size smaller or larger than the panel. Resizing larger crops the child element, and resizing smaller adds empty space that can t be filled with any other object. n Adding another child into the Border panel replaces the original child.

This number, however, is a property which depends on the distribution of information in the spectrum. The optimum is obviously reached, if the resolution of the evaluation procedure is equivalent to the width of the bands in the spectrum (see Sec. 3.3.5). The precision of quantitative analyses depends on the number of resolvable intensity steps (Fig. 3.3-13e and 0. For trace analyses near the limit of detection, the number of steps may be quite small. As shown by Eq. 3.3-36, the number of steps is inversely proportional to the standard deviation of the measurement. It is therefore necessary to discuss the influence of the measuring conditions upon the standard deviation, since it is directly related to the signal-to-noise ratio in the spectrum.

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