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This chain has the same TreyRoot CA as the root CA of the hierarchy. In this case, the BridgeCA certificate was issued by the Employee CA in the Trey Research hierarchy. In both cases, the certificates issued by the Northwind Traders CA hierarchy chain to the root CA of the organization evaluating the certificate.

Dim prompt2 As New LabeledTextBox()

gr.DrawString(msg, fnt, Brushes.Black, rectF, strFormat)

Products()

int x = 591; for (int i = 2; i <= 10; i++) { Console.WriteLine( {0} in base {1} is {2} , x, i, x.ConvertToBase(i)); }

Dim ctrl As Control = GroupBox1.GetChildAtPoint(New Point(30, 50))

Determine the files and applications that might be required. Knowledge of the required access can help determine the need for trust type. Determine the type of access required: read, write, or delete. Determine whether special rights are required. You make this determination by

cn.Open()

Figure 19-11. The results of applying the server filter on the frmXmplContactsServFilterByForm form.

menu that appears, click Remove from Quick Access Toolbar. To conclude this exercise, you will create a custom tab and add a command that runs the Capture_GIF_Image custom macro to it.

7

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Type a name for the new style, select the first table element you want to format, and then click Format to display the Format Cells dialog box. Define the element s formatting, and then click OK. When the New Table Quick Style dialog box reopens, its Preview pane displays the overall table style and the Element Formatting area describes the selected element s appearance. Also, in the Table Element list, Excel displays the element s name in bold to indicate it has been changed. To make the new style the default for new Excel tables created in the current workbook, select the Set As Default Table Quick Style For This Document check box. When you click OK, Excel saves the new table style.

The main motivation for compressing your data is to save space with extremely large tables, such as data warehouse fact tables A second goal is to increase performance when scanning a table for reporting purposes, because far fewer pages need to be read You need to keep in mind that compression comes at a cost: there is a tradeoff between the space savings and the extra CPU overhead to compress the data for storage and then uncompress the data when it needs to be used On a CPU-bound system, you may nd that compressing your data can actually slow down your system considerably Page compression provides the most bene t for systems that are I/O-bound, with tables for which the data is written once and then read repeatedly, as in the situations I mentioned in the previous paragraph: data warehousing and reporting.

The CustomSettings .ini file in the listing contains the property values for all the target computers to be deployed using this version of the file . This version of the file contains no values that are unique to a specific target computer, because all of the settings are defined in the [Default] section . In this case, the target computer specific configuration values are provided manually during the installation process by using the Windows Deployment Wizard . Table 12-1 explains the properties and corresponding values used in the listing .

For environments with heavy read and write activity, such as OLTP applications, you might want to consider enabling row compression only and avoid the costs of analyzing the pages and rebuilding the CI record In this case, the CPU overhead is minimal In fact, row compression is highly optimized so that it is visible only at the storage engine layer The relational engine (query processor) doesn t need to deal with compressed rows at all The relational engine sends uncompressed rows to the storage engine, which compresses them if required When returning rows to the relational engine, the storage engine waits as long as it can before uncompressing them In the storage engine, comparisons can be done on compressed data, as internal conversions can convert a data type to its compressed form before comparing to data in the table.

In addition, only columns requested by the relational engine need to be uncompressed, as opposed to uncompressing an entire row..

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