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

By Eric Johnson

A Developer’s advisor to facts Modeling for SQL Server explains the thoughts and perform of knowledge modeling with a readability that makes the know-how obtainable to somebody construction databases and data-driven applications.

“Eric Johnson and Joshua Jones mix a deep figuring out of the technological know-how of information modeling with the paintings that includes years of expertise. If you’re new to information modeling, or locate the necessity to brush up on its techniques, this publication is for you.”
Peter Varhol, government Editor, Redmond Magazine

Model SQL Server Databases That paintings greater, 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 standards. 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: types that don’t mirror SQL Server’s special real-world strengths and weaknesses frequently bring about disastrous functionality.

A Developer’s advisor to facts Modeling for SQL Server is a pragmatic, SQL Server-specific advisor to info modeling for each developer, architect, and administrator. This booklet will give you worthy start-to-finish tips for designing new databases, remodeling current SQL Server information versions, and migrating databases from different structures.

You’ll start with a concise, sensible assessment of the center info modeling concepts. subsequent, you’ll stroll via requisites amassing and detect find out how to convert specifications into potent SQL Server logical versions. ultimately, you’ll systematically rework 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 better half site.

This booklet permits you to

  • Understand your info model’s actual components, from garage to referential integrity
  • Provide programmability through saved approaches, user-defined features, triggers, and .NET CLR integration
  • Normalize information versions, one step at a time
  • Gather and interpret standards extra effectively
  • Learn an efficient technique for growing logical models
  • Overcome modeling difficulties on the topic of entities, characteristic, facts varieties, garage overhead, functionality, and relationships
  • Create actual models—from developing naming directions via enforcing company ideas and constraints
  • Use SQL Server’s certain indexing features, and triumph over their limitations
  • Create abstraction layers that increase defense, extensibility, and flexibility

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Extra resources for A Developers Guide To Data Modeling For Sql Server

Sample text

Cascade: Deletes all matching entries from the child entity (in addition to the instance in the parent entity) based on the match of primary key value and foreign key value between the entities. Null (Set Null): Similar to Restrict; if the value does not match, sets the child foreign key value to NULL (or a specified default value) and permits the delete. This creates orphaned instances in the child entity. Child entity INSERT None: Takes no action; enforces no restrictions. Restrict: Checks data in the primary key value of the parent entity against the foreign key value being inserted into the child entity.

This book is divided into four parts; each one builds on the preceding one as we walk you through our retailer scenario. In the first four chapters we look at theory, such as logical and physical elements and normalization. In Part II, we explain how to gather and interpret the requirements of the company. Part III finds us actually building the logical model. Finally, in Part IV, we build the physical model and implement it on SQL Server. Throughout this book we focus on the fact that we are designing this data model to ultimately be implemented on SQL Server.

This book provides you with the background, processes, and guidance to effectively design and implement relational databases using Microsoft SQL Server 2008. This page intentionally left blank C H A P T E R 2 ELEMENTS USED IN LOGICAL DATA MODELS Imagine, for a moment, that you’ve been asked to build a house. ” To answer this question, you need a plan for building the house. The plan, a construction blueprint, will provide the information on the required tools and materials. So step 1 is to design a blueprint.

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