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VPN connections. Although there are many fans of this approach, it doesn t work well when the Windows Small Business Server computer is acting as a second-layer firewall, because clients still need to tunnel through the Windows Small Business Server computer. If you do choose to use a firewall device to establish VPN connections with clients and servers in remote offices, make sure the firewall supports the necessary number of simultaneous VPN tunnels.

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In this chapter, we're going to take a look at one of the things that XML does best[md]storing data. In particular, we'll see how to set up XML documents to use with database applications. This topic is a large one, and database work can get very complex, as anyone who has worked with database programs is aware. In fact, Microsoft has already proposed a new data-handling standard for XML named discuss XML-Data that allows for involved data storage and structuring. You can find a copy of the XML-Data proposal at the Microsoft Web site. This proposal includes many specifications for handling graphs of data, data description techniques, schema, and more. In this chapter, we will go as far as the MSXML parser lets us go with databases. We will see how to move through the records of a database, how to add records to a database, how to search the records of a database, and how to handle variable-length records. There's a lot going on here, so we will get started at once, seeing how to set up a database and work through that database's records now.

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displayStrings[numberDisplayLines] = elem2.getText ();

Information contained in an XML document can be extracted from the document through a process called parsing. Parsing is an orderly method of stripping away the XML markup tags leaving only the data. The data is then processed by an application depending on the nature of the application. The program that performs parsing is called a parser.

import com.ms.xml.Element;

One of the most interesting and surprising illuminations I discovered during my work with top mobility integrators is in the analysis of existing versus prior mobility integrator customers. My research shows that mobility system integrators keep relatively loose records on where they ve sold equipment in the past. It s not that they don t have the raw data, because they do. It s that, in general, it s very rarely harvested. This is largely due to existing budget constraints on accounting and sales management tools, but even more it s because there is so much demand to generate profit and sales now that most integrators focus more on what s at their feet than looking reasonably far ahead and mining a treasure trove of accounts into which they already sold. The logistics, cash flow, and profitability management are mind numbingly complex. Most integrators think a very great deal about profitability with granularity of 1 to 3 percentage points. Even so, the higher-performing mobility system integrators on average abandon at least one customer for every $15,000 in mobility equipment sales. Restated, for every million dollars in mobility hardware sales, there are approximately 66 customers that the integrator has not visited recently. What s even more surprising is that the data clearly shows these abandoned customers haven t purchased mobility hardware since 2005. This is a significant period of abandonment given that two major generations of wireless technology have occurred since 2005 specifically, the controller-based technology and 802.11n. The shift in architecture from autonomous to centralized intelligence architectures is generally considered one of the single largest technology advancements in WLAN history. What we ve learned about WLAN designs and deployments has equally increased since 2005: on the technical side, the industry has

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