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#createdb.ps1 #Creates a new database using our specifications [System.Reflection.Assembly]::LoadWithPartialName( Microsoft.SqlServer.SMO ) | out-null # Instantiate a new SMO Server object and connect to server SQLTBWS\INST01 $s = new-object ( Microsoft.SqlServer.Management.Smo.Server ) SQLTBWS\INST01 $dbname = SMO_DB # Set the database logical and physical names $syslogname = $dbname + _SysData $applogname = $dbname + _AppData $loglogname = $dbname + _Log # An SMO bug in SQL 2005 and SQL 2008 cause the default locations to possibly be null $fileloc = $s.Settings.DefaultFile $logloc = $s.Settings.DefaultLog if ($fileloc.Length = 0) { $fileloc = $s.Information.MasterDBPath } if ($logloc.Length = 0) { $logloc = $s.Information.MasterDBLogPath } # Place the files in the same location as the master database $dbsysfile = $fileloc + \ + $syslogname + .mdf $dbappfile = $fileloc + \ + $applogname + .ndf $dblogfile = $logloc + \ + $loglogname + .ldf

If you haven t already done so, I recommend you try the KNOPPIX distribution included with this book and described in 11. It will help you get a good hands-on view of a bootable Linux system by describing how KNOPPIX works, how to use different boot options to start it, and ways of saving changes across reboots. You can also check out Appendix A for a list of other bootable Linux distributions that come on the CD and DVD included with this book.

ASSOC .pl=Perl FTYPE Perl=c:\winnt\system32\perl.exe %1 %*

Typical Operating Characteristics(Continued)

(5A.68) A special case of interest is when = /2, in which case (5A.68) simpli es to Jm cm 1 ; c = ( 1)m 2 2 c 1+c

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atabases attempt to model reality. In reality, sometimes there s standard data that for one reason or another doesn t apply to a speci c object. Some people don t have a suf x (e.g., Jr. or Sr.). Some addresses don t have a second line. Some orders are custom jobs and don t have part numbers. Sometimes the missing data is only temporarily missing and it will be lled in later. A new customer supplies her name and e-mail address, but not her street address. A new order doesn t yet have a closed date, but will have one later. Every employee will eventually have a termination date. The usual method for handling optional or missing data is with a nullable column. Nulls are controversial at best. Some database modelers use them constantly, while other believe that nulls are evil. Even the meaning of null is debated, with some claiming null means unknown, others saying null means the absence of data. When the bits hit the hard drive, there are three possible solutions for representing optional data in a database. Rather than debate the merits of each option, this is an opportunity to apply the database objectives from 2, Data Architecture :

Three factors are considered in multidimensionality: dimensions, measures, and time. 1. Examples of dimensions: products, salespeople, market segments, business units, geographical locations, distribution channels, countries, industries 2. Examples of measures: money, sales volume, head count, inventory pro t, actual versus forecasted results 3. Examples of time: daily, weekly, monthly, quarterly, yearly For example, a manager may want to know the sales of product M in a certain geographical area, by a speci c salesperson, during a speci ed month, in terms of units. Although the answer can be provided regardless of the database structure, it can be provided much faster, and by the user himself or herself, if the data are organized in multidimensional databases (or data marts), or if the query tools are designed for multidimensionality (e.g., via OLAP). In either case, users can navigate through the many dimensions and levels of data via tables or graphs and then conduct a quick analysis to nd signi cant deviations or important trends. Multidimensionality is available with different degrees of sophistication and is especially popular in business intellignece software (e.g., see Campbell, 2001). There are several types of software from which multidimensional systems can be constructed, and they often work in conjunction with OLAP tools.

When addressing the limitations of SQL Server 2000 Desktop Engine, remember that it is 100 percent compatible with SQL Server 2000.

var obj = GetObject ( WinNT://seattle/omega ) var usr = obj.Create( user , jfranklin ) usr.SetPassword( gres$#42g ) usr.SetInfo()

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