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1. Open the list and then click Modify Settings and Columns in the Actions list. 2. Click the view you want to modify in the Views section of the Customize page. 3. Modify the list using the same tools you used to create it. 4. Click OK to save the modified view. One important reason for modifying an existing view is to change its URL or web address. SharePoint addresses have a limit of 256 characters. It doesn t take long to reach that limit on most enterprise servers. Although you want to make the view names friendly and descriptive, by editing the web address of the view, you can greatly reduce the number of characters in the address. Figure 4-13 shows the web address of a view we created for this chapter. If you modify the view name to DecCallsByCallDate.aspx, you save nine spaces right off the top. Not a bad result for minimal effort.



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Before we can design a database, we have to decide whether the system will be an Online Transaction Processing (OLTP) system or an Online Analytical Processing (OLAP) system. We could find this out prior to our first meeting with the users, or even during the first meeting, but the choice of OLTP or OLAP will probably be indicated in the initial proposal. Before we make the decision, we need to understand these two key types of systems.

An OLTP system provides instant updates of data. There is a good chance that an OLTP database system has a separate user front end written in a .NET language such as Visual Basic .NET

Figure 4-13. Rename the web address of the view to remove extra spaces. This saves characters and makes the path easier to read.





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(VB .NET), C#, or ASP.NET. This user front end calls through to the database and instantly updates any changes a user has made to the underlying data. OLTP systems require many considerations to ensure they re fast and reliable, and can keep the data integrity intact. When you design an OLTP system, it s crucial that you get not only the database structure right, but also where the data physically resides. It s common to find that OLTP systems are normalized to third normal form (more on what this term means later in the chapter), although this may not happen in every case. By normalizing your data, you will aid the achievement of one of the main goals of an OLTP system: keeping data updates as short as possible. When you normalize your data by removing redundant or duplicate columns, you should ensure that the data to be written is as compact as possible. In many OLTP systems, normalization is king.

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Many OLTP systems are in use 24 hours a day, 7 days a week. The high frequency of changes in such a system s data means that backing up the database is a necessary and mandatory task. It is possible to back up a database while SQL Server is in use, although it is best to perform a backup when SQL Server is either not in use or when there will be a small amount of activity updating the data taking place. The ideal timeframe might be in the middle of the night or even during a break period. Whenever you decide to perform a backup, it s crucial that you constantly monitor and check it within an OLTP system to see that the system is still performing as desired. You would not be the first person to find that what you thought was a valid backup that could be restored in a disaster situation was in fact corrupt, incomplete, or just not happening. Therefore, periodically take a backup from production and reload it in to a secure development area just to confirm that it works.

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