By Eric Johnson
“ A Developer’s advisor to info Modeling for SQL Server explains the strategies and perform of information 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 knowing of the technology of knowledge modeling with the artwork that incorporates years of expertise. If you’re new to facts modeling, or locate the necessity to brush up on its thoughts, this ebook is for you.”
—Peter Varhol, govt Editor, Redmond Magazine
Model SQL Server Databases That paintings larger, Do extra, and Evolve extra easily
Effective info modeling is key to making sure that your databases will practice good, scale good, and evolve to satisfy altering standards. even if, if you’re modeling databases to run on Microsoft SQL Server 2008 or 2005, theoretical or platform-agnostic info modeling wisdom isn’t adequate: types that don’t replicate SQL Server’s specified real-world strengths and weaknesses usually bring about disastrous functionality.
A Developer’s consultant to info Modeling for SQL Server is a realistic, SQL Server-specific advisor to facts modeling for each developer, architect, and administrator. This publication provide you with worthy start-to-finish counsel for designing new databases, remodeling latest SQL Server facts versions, and migrating databases from different systems.
You’ll commence with a concise, useful review of the center facts modeling ideas. subsequent, you’ll stroll via requisites accumulating and notice how one can convert standards into powerful SQL Server logical types. ultimately, 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 spouse website.
This booklet allows you to
- Understand your facts model’s actual components, 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 standards extra effectively
- Learn a good technique for developing logical models
- Overcome modeling difficulties on the topic of entities, characteristic, info kinds, garage overhead, functionality, and relationships
- Create actual models—from constructing naming guidance via enforcing company ideas and constraints
- Use SQL Server’s specific indexing functions, and conquer their limitations
- Create abstraction layers that increase defense, 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
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. If the value does not have a match, prevents the insert from taking place. UPDATE 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 updated in the child entity. If the value does not have a match, prevents the update from taking place.
An abstraction layer provides a level of access to the database without giving users direct access to the tables. To create an abstraction layer, you create views, stored procedures, and functions to access the data in the underlying tables. Summary 21 Abstraction layers are created for several reasons. The first is security. If you have a good abstraction layer, you can more easily control who has access to specific types of information. Another reason for an abstraction layer is to shield users and applications from database changes.
In some cases you will end up with more than one table to represent a single logical entity, whereas in other cases you will roll up multiple entities onto a single table. 20 Chapter 1 Data Modeling Overview Additionally, you will probably end up with tables that contain data not represented in your logical model. We call these supporting tables. They are used to support the use of the database but do not necessarily store data that the business cares about. Supporting tables might be lookup tables or tables to support application code, or they might support business rules.
A developer's guide to data modeling for SQL server : covering SQL server 2005 and 2008 by Eric Johnson
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