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

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By Eric Johnson

A Developer’s advisor to information Modeling for SQL Server explains the options and perform of information modeling with a readability that makes the know-how obtainable to an individual construction databases and data-driven applications.

“Eric Johnson and Joshua Jones mix a deep realizing of the technological know-how 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 strategies, this e-book is for you.”
Peter Varhol, government Editor, Redmond Magazine

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

Effective info modeling is vital 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 info modeling wisdom isn’t sufficient: types that don’t replicate SQL Server’s distinct real-world strengths and weaknesses usually bring about disastrous functionality.

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

You’ll commence with a concise, useful review of the center information modeling concepts. subsequent, you’ll stroll via requisites amassing and become aware of how one can convert requisites into potent SQL Server logical types. eventually, you’ll systematically remodel these logical versions 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 e-book allows you to

  • Understand your facts model’s actual parts, from garage to referential integrity
  • Provide programmability through saved techniques, user-defined services, triggers, and .NET CLR integration
  • Normalize info types, one step at a time
  • Gather and interpret necessities extra effectively
  • Learn an efficient method for growing logical models
  • Overcome modeling difficulties concerning entities, characteristic, info kinds, garage overhead, functionality, and relationships
  • Create actual models—from developing naming directions via imposing enterprise principles and constraints
  • Use SQL Server’s certain indexing functions, and triumph over their limitations
  • Create abstraction layers that improve protection, extensibility, and flexibility

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

Sample text

This technique eliminates the need for users to understand the entire database; they can focus on a single object. You gain an exponential benefit when you start working with many base tables in a single view. Using views also allows you to change the tables or the location where the data is stored without affecting users. In the end, as long as you update the view definition so that it accommodates the table changes you made, your users will never need to know that there was a change. You can also use views to better manage security.

Views, as the name implies, allow you to create various pictures of the underlying information. You can reference as many or as few columns from each base table as you need to make your views. This capability allows you to slice up data and display only relevant information. You access views in almost the same way that you access tables. All the basic DML statements work against views in the same way they do on tables, with a few exceptions. If you have a view that references more than one base table, you can use only INSERT, UPDATE, or DELETE statements that 48 Chapter 3 Physical Elements of Data Models reference columns from one base table.

But if instead you create a Phone Number domain and add it to every entity that stores phone numbers, then updating the Phone Number domain to the new international format will update every entity in the model. Thus, to reduce the chance that identical attributes will vary from entity to entity in a logical design, it’s a good idea to use domains whenever possible. This practice will help enforce consistency and save design time, not only during the initial rollout but also throughout the lifetime of the database.

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