By Jacqmin-Cadda H.
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Extra resources for Analysis of left-censored longitudinal data with application to viral load in HIV infection
However, all examples in the book can be implemented and tested on any edition of SQL Server. To implement the looping example in the previous section, every row in the innerTable and outerTable would have to be retrieved over a network connection to the client. If the table was large, this would likely be a very slow operation, even on a relatively fast network. The efficiency gained by utilizing the processor resources of the server allows multiple users to access the data quicker than if the work was performed on the client machines, not to mention that the amount of data that must be shuffled across the network will be smaller, minimizing the effect of network access speed.
These factors, along with operating system refinements and concepts such as data warehousing (discussed later in this chapter), have produced database servers that can handle structuring data in a proper manner, as defined thirty years ago. 18 Introduction to Database Methodologies Databases built today are being designed to use better structures, but we still have poorly designed databases from previous years. Even with a good basic design, programming databases can prove challenging to those with a conventional programming background in languages such as C, C++ or Visual Basic.
Rarely, if ever, is the data already in well-structured databases that you can easily access. If that were the case, where would the fun be? Indeed, why would the client come to you at all? Clients typically have data in the following sundry locations: ❑ Mainframe or legacy data Millions of lines of active COBOL still run many corporations. ❑ Spreadsheets Spreadsheets are wonderful tools to view, slice, and dice data, but are inappropriate places to maintain complex databases. Most users know how to use a spreadsheet as a database but, unfortunately, are not so well experienced in ensuring the integrity of their data.