By Eric Johnson

A Developer’s consultant to info Modeling for SQL Server explains the suggestions and perform of information modeling with a readability that makes the expertise obtainable to a person development databases and data-driven applications.

“Eric Johnson and Joshua Jones mix a deep figuring out of the technological know-how of knowledge modeling with the artwork that includes years of expertise. If you’re new to facts modeling, or locate the necessity to brush up on its suggestions, this publication is for you.”
Peter Varhol, govt 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 fulfill altering necessities. besides the fact that, if you’re modeling databases to run on Microsoft SQL Server 2008 or 2005, theoretical or platform-agnostic information modeling wisdom isn’t adequate: versions that don’t mirror SQL Server’s specified real-world strengths and weaknesses usually result in disastrous functionality.

A Developer’s advisor to information Modeling for SQL Server is a pragmatic, SQL Server-specific advisor to information modeling for each developer, architect, and administrator. This ebook provide you with precious start-to-finish counsel for designing new databases, remodeling present SQL Server facts types, and migrating databases from different structures.

You’ll start with a concise, sensible assessment of the middle info modeling ideas. subsequent, you’ll stroll via necessities collecting and observe the best way to convert requisites into powerful SQL Server logical types. ultimately, you’ll systematically rework 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 site.

This ebook permits you to

  • Understand your information model’s actual components, from garage to referential integrity
  • Provide programmability through saved approaches, user-defined features, triggers, and .NET CLR integration
  • Normalize facts versions, one step at a time
  • Gather and interpret requisites extra effectively
  • Learn an efficient method for growing logical models
  • Overcome modeling difficulties relating to entities, characteristic, info varieties, garage overhead, functionality, and relationships
  • Create actual models—from developing naming guidance via enforcing company principles and constraints
  • Use SQL Server’s specific indexing functions, and conquer their limitations
  • Create abstraction layers that improve safeguard, extensibility, and flexibility

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Extra info for A developer's guide to data modeling for SQL server : covering SQL server 2005 and 2008

Example text

This kind of data is generally called binary large object (BLOB) data. This information is usually stored in SQL Server in one of the following data types: binary, varbinary, and image. As with the character data types, the existence of the var prefix denotes that the given attribute has variable-length values in the field. 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.

The real power of a relational database lies in the efficient and flexible storage and retrieval of data. Identifying and implementing the correct relationships in a logical model are two of the most critical design steps. To correctly identify relationships, it’s important to understand all the possibilities, know how to recognize each one, and determine when each should be used. Relationship Types Logically, there are three distinct types of relationships between entities: one-to-one, one-to-many, and many-to-many.

Choose these data types when you will have very large amounts of alphanumeric text stored as a single attribute in an entity. Dates and Times Nearly every data model in existence requires that some entities have attributes that are related to dates and times. Date and time data can be used to track the time a change was made to an order, the hire date for employees, or even the delivery time for products. Every RDBMS has its own implementations of date and time data types that store this data. For SQL Server 2008, there are now six data types for this purpose.

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