By Eric Johnson
“ A Developer’s consultant to information Modeling for SQL Server explains the ideas and perform of knowledge modeling with a readability that makes the expertise available to someone development databases and data-driven applications.
“Eric Johnson and Joshua Jones mix a deep realizing of the technological know-how of knowledge modeling with the paintings that incorporates 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 facts modeling is vital to making sure that your databases will practice good, scale good, and evolve to satisfy altering necessities. even if, 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 specific real-world strengths and weaknesses frequently bring about disastrous functionality.
A Developer’s advisor to information Modeling for SQL Server is a realistic, SQL Server-specific advisor to information modeling for each developer, architect, and administrator. This publication will give you precious start-to-finish counsel for designing new databases, remodeling present SQL Server facts versions, and migrating databases from different systems.
You’ll start with a concise, sensible evaluate of the middle facts modeling suggestions. subsequent, you’ll stroll via standards collecting and become aware of how you can convert specifications into potent 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 significant other 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 an efficient method for developing logical models
- Overcome modeling difficulties with regards to entities, characteristic, info varieties, garage overhead, functionality, and relationships
- Create actual models—from constructing naming instructions via imposing enterprise principles and constraints
- Use SQL Server’s distinct indexing functions, and conquer their limitations
- Create abstraction layers that improve safety, extensibility, and flexibility
Read or Download A Developers Guide To Data Modeling For Sql Server PDF
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Extra resources for A Developers Guide To Data Modeling For Sql Server
For any given school, there is only one dean, and for any given dean, there is one school. 2 The Schools entity are stored in the Schools entity. Although this approach consolidates all information in a single entity, it is not the most flexible solution. Whenever either a school or a dean is updated, the record must be retrieved and updated. Additionally, having a school with no dean (or a dean with no school) creates a half-empty record. Finally, it creates data retrieval problems. What if you want to write a report to return information about deans?
One common mistake is to convert data from physical documentation (such as printed spreadsheets or manuals) into entities and Attributes 25 attributes in a logical model. For example, it is common for customer information to be physically stored with order information. This practice could lead to the belief that customer data, such as address or phone number, is an attribute of an order. However, customer is an entity in and of itself, as is an order. Storing the customer attributes with the order entity would complicate storage and data retrieval and possibly lead to a design that is difficult to scale.
For example, consider the Phone Number attribute. Often, logical models are designed with localized phone numbers in mind; in the United States, this is generally notated with a three-digit area code, followed by a three-digit prefix, followed by a four-digit suffix (XXX-XXX-XXXX). If later in the design you decide to store international numbers as well, and if a phone number attribute has been added to multiple entities, it may be necessary to edit every entity to update the attribute. 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.