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Louis and Paul s 10 key relational database design ideas
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many other computer-related challenges, the theory and practices for designing and implementing a relational database have remained relatively stable for many years. The main reason for this is that when Codd developed the initial relational database system, he took into consideration the kind of stuff we talked about in our eighth point: encapsulation. Whereas SQL has remained reasonably stable, the engines that run the database servers have become more and more powerful. If you follow the rules, normalize your data schema, and write set-based queries, that SQL statement you write on a small dataset on your own machine will be far easier to optimize when you get to the reality of millions of rows on a SQL Server machine in the cloud, where you don t have access to the hardware, only the SQL engine.
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About the authors
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Paul Nielsen is a SQL Server data architect who has enjoyed playing with data for three decades. He's the author of the SQL Server Bible series (Wiley), is convinced that SSMS is the ultimate UI, and dreams in E/R diagrams and T-SQL. Paul is the founder of NordicDB a software startup company that offers a specialized SaaS CRM solution for non-profits. Paul lives in Colorado Springs with a wife who is far more beautiful than he deserves and his three children (ages 22, 21, and 5). He speaks at most conferences and offers seminars in database design. His website is http://www.SQLServerBible.com. Louis Davidson has over 15 years of experience as a corporate database developer and architect. Currently he is the Data Architect for the Christian Broadcasting Network. Nearly all of Louis professional experience has been with Microsoft SQL Server from the early days to the latest version currently in beta. Louis has been the principal author of four editions of a book on database design, including one for SQL Server 2008. Louis primary areas of interest are database architecture and coding in T-SQL, and he has experience designing many databases and writing thousands of stored procedures and triggers through the years.
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2 SQL Server tools for maintaining data integrity
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You ve probably seen it before: a client has called the help desk and reported that a couple of queries have seemingly inconsistent results. You re called in to test the queries, so you start digging. You run two queries, and the results for one query don t seem right, considering the other query s results. So you start to wonder, Is it my understanding of the schema You then start looking at the data model and the tables seem wonderfully designed. Your query should work. Dang, now what You dig deeper, and realize... the only objects you find in the database are tables. No constraints, no relationships, no nothing. A quick query later and you find that orphaned rows in a child table show up in one query but not another. At this point it s clear that almost all of the data in these tables is suspect because if you can t trust that a simple relationship works, can you trust that the child rows that exist are for the proper parent Sadly, the answer is no, because the software may have created a new parent row that reused a key value. Now ideally you ll test the consistency of the data every time you use the data, to verify that it s correct. It doesn t take a genius to determine how long before that gets old. So how do you avoid this calamity Protect the data using all of the tools you have available. In this chapter, I ll present many of the tools that SQL Server gives you to help protect your data from corruption, usually in a behind-the-scenes manner that the client doesn t really have to worry about. I ll also present guidance on how to decide what type of protection and where, and give examples of each type of protection. I ll break down the topic into the following two sections: Protection tools Introducing the tools that SQL Server gives us and techniques for using them When and why to use what tool Examining the different types of protection tools and discussing when and where they should be used
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