New PDF release: A Developers Guide To Data Modeling For Sql Server

By Eric Johnson

ISBN-10: 0321497643

ISBN-13: 9780321497642

A Developer’s advisor to facts Modeling for SQL Server explains the strategies and perform of information modeling with a readability that makes the expertise obtainable to someone construction databases and data-driven applications.

“Eric Johnson and Joshua Jones mix a deep realizing of the technological know-how of knowledge modeling with the artwork that includes years of expertise. If you’re new to info modeling, or locate the necessity to brush up on its thoughts, this booklet is for you.”
Peter Varhol, govt Editor, Redmond Magazine

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

Effective facts modeling is key to making sure that your databases will practice good, scale good, and evolve to fulfill altering standards. notwithstanding, if you’re modeling databases to run on Microsoft SQL Server 2008 or 2005, theoretical or platform-agnostic facts modeling wisdom isn’t adequate: versions that don’t replicate SQL Server’s specified real-world strengths and weaknesses frequently result in disastrous functionality.

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

You’ll start with a concise, functional evaluation of the center info modeling innovations. subsequent, you’ll stroll via requisites accumulating and become aware of easy methods to convert standards into potent SQL Server logical versions. ultimately, you’ll systematically remodel these logical types into actual versions that utilize SQL Server’s prolonged performance. All of this book’s many examples can be found for obtain from a spouse website.

This booklet permits you to

  • Understand your facts model’s actual components, from garage to referential integrity
  • Provide programmability through kept techniques, user-defined features, triggers, and .NET CLR integration
  • Normalize information versions, one step at a time
  • Gather and interpret specifications extra effectively
  • Learn a good method for developing logical models
  • Overcome modeling difficulties concerning entities, characteristic, information forms, garage overhead, functionality, and relationships
  • Create actual models—from developing naming guidance via imposing company ideas and constraints
  • Use SQL Server’s distinct indexing functions, and triumph over their limitations
  • Create abstraction layers that increase safety, extensibility, and flexibility

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Additional info for A Developers Guide To Data Modeling For Sql Server

Example text

The problem with using only one byte for character storage is that one byte cannot adequately store certain character data, such as Japanese Kanji or Korean Hangul characters. Obviously, there are storage and performance trade-offs involved here, and they are covered in more depth in Chapter 3. Attributes 27 For now, keep in mind that Unicode may be required based on the character data you are storing. Numeric Numeric data is any data that needs to be stored as numerals. You can perform calculations on all the numeric data types.

Status, Address, Phone Number, and Email are all examples of attributes that are likely to be identical in multiple entities. Rather than painstakingly create and maintain these attributes in each individual entity, you can use domains. A domain is a definition of an attribute that is maintained as part of the logical model but outside a given entity. Whenever an attribute that is part of a domain is used, that domain is added to the entity. Generally, a data model does not provide a visual indication that a given attribute is actually part of a domain.

Therefore, binary defines a fixed-width attribute containing binary data, and varbinary specifies the maximum width of an attribute containing the binary data. The image data type simply specifies that the attribute contains variable-length binary data, similar to varbinary but with much greater storage potential. Character data can also come in forms much longer than the standard alphanumeric data types described earlier. What if you need to store freeform text in a single field, such as raw resume information?

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A Developers Guide To Data Modeling For Sql Server by Eric Johnson

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