A developer's guide to data modeling for SQL server : by Eric Johnson

By Eric Johnson

A Developer’s consultant to info Modeling for SQL Server explains the options and perform of knowledge modeling with a readability that makes the expertise obtainable to an individual construction databases and data-driven applications.

“Eric Johnson and Joshua Jones mix a deep knowing of the technology of information modeling with the artwork that incorporates years of expertise. If you’re new to information modeling, or locate the necessity to brush up on its suggestions, this e-book is for you.”
Peter Varhol, government Editor, Redmond Magazine

Model SQL Server Databases That paintings larger, Do extra, and Evolve extra easily

Effective information modeling is key to making sure that your databases will practice good, scale good, and evolve to satisfy altering requisites. besides the fact that, if you’re modeling databases to run on Microsoft SQL Server 2008 or 2005, theoretical or platform-agnostic facts modeling wisdom isn’t sufficient: versions that don’t mirror SQL Server’s distinctive real-world strengths and weaknesses usually result in disastrous functionality.

A Developer’s advisor to facts Modeling for SQL Server is a realistic, SQL Server-specific consultant to info modeling for each developer, architect, and administrator. This e-book provides you with helpful start-to-finish assistance for designing new databases, remodeling present SQL Server information versions, and migrating databases from different systems.

You’ll start with a concise, useful evaluate of the middle info modeling ideas. subsequent, you’ll stroll via necessities accumulating and observe tips on how to convert specifications into potent SQL Server logical types. eventually, you’ll systematically remodel these logical types into actual types that utilize SQL Server’s prolonged performance. All of this book’s many examples can be found for obtain from a significant other website.

This booklet allows you to

  • Understand your facts model’s actual parts, from garage to referential integrity
  • Provide programmability through kept systems, user-defined features, triggers, and .NET CLR integration
  • Normalize info versions, one step at a time
  • Gather and interpret specifications extra effectively
  • Learn a good technique for growing logical models
  • Overcome modeling difficulties on the topic of entities, characteristic, info forms, garage overhead, functionality, and relationships
  • Create actual models—from setting up naming guidance via enforcing company principles and constraints
  • Use SQL Server’s certain indexing functions, and triumph over their limitations
  • Create abstraction layers that increase safeguard, extensibility, and flexibility

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Now consider a business that assigns vehicles to some employees. That business practice is reflected in the data model as an Employee entity and a Vehicle entity, with a relationship between them. You can see that an employee “may have” a vehicle, thus fitting our definition of an optional relationship. Cardinality In every relationship we’ve discussed, we’ve specified only the general type of relationship—one-to-one, one-to-many, and many-to-many. In each case, the description of the relationship is a specification of the number of records in a parent entity in relation to the number of records in a child entity.

Although SQL Server moves the variable-length fields to new pages after you exceed the 8K limit, the result is akin to a fragmented hard drive. You now have chunks of data that need to be assembled when accessed, and this adds processing time. As a data modeler you should always try to keep your rows smaller than the 8K limit for performance reasons. There are a few exceptions to this rule, and we look at them more closely later in this chapter when we discuss data types. Keep in mind that there is a lot more complexity in the way SQL Server handles storage and pages than we cover here, but your data model can’t affect the other variables as much as it can affect table size.

What if the decision is made that a single dean can manage multiple schools or even that one school can have more than one dean? 5, we’ve arranged the Schools and Deans entities so that either entity can have multiple links to the other entity. 5 The Schools and Deans entities, many-to-many relationship Relationships 39 From a conceptual standpoint, all relationships exist between exactly two entities. Logically, we have a relationship between Schools and Deans. Technically, you could leave the notation with these two entities showing that there are two one-to-many relationships, one in each direction.

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