By Eric Johnson
“ A Developer’s advisor to info Modeling for SQL Server explains the thoughts and perform of information modeling with a readability that makes the know-how obtainable to somebody development databases and data-driven applications.
“Eric Johnson and Joshua Jones mix a deep realizing of the technology of information modeling with the artwork that includes years of expertise. If you’re new to info 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 higher, 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 satisfy altering specifications. in spite of 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 sufficient: versions that don’t mirror SQL Server’s designated 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 consultant to facts modeling for each developer, architect, and administrator. This ebook provide you with priceless start-to-finish suggestions for designing new databases, remodeling latest SQL Server facts versions, and migrating databases from different systems.
You’ll start with a concise, sensible evaluation of the center info modeling ideas. subsequent, you’ll stroll via specifications amassing and realize easy methods to convert requisites into powerful SQL Server logical versions. 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 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 facts versions, one step at a time
- Gather and interpret requisites extra effectively
- Learn an efficient technique for developing logical models
- Overcome modeling difficulties regarding entities, characteristic, facts varieties, garage overhead, functionality, and relationships
- Create actual models—from constructing naming guidance via enforcing company principles and constraints
- Use SQL Server’s targeted indexing functions, and conquer their limitations
- Create abstraction layers that increase safeguard, 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
The four basic Data Manipulation Language (DML) statements are defined as follows: ■ ■ ■ ■ SELECT: Allows users to retrieve data in a table or tables INSERT: Allows users to add data to a table UPDATE: Allows users to change data in a table DELETE: Allows users to remove data from a table How SQL Server Stores Tables In addition to understanding what tables are, it’s important that you understand how SQL Server stores them; the type of data your columns store will dictate how the table is stored on disk, and this can directly affect the performance of your database.
If you need to store anything beyond basic ASCII text, you will need to have a Unicode data type. The primary difference between Unicode and non-Unicode systems is that Unicode requires two bytes of physical storage for every character stored; non-Unicode systems generally use only one byte (sometimes more than one byte is needed when you start storing variable-length data). The problem with using only one byte for character storage is that one byte cannot adequately store certain character data, such as Japanese Kanji or Korean Hangul characters.
Relationship Options Now that you know about the various types of relationships, we need to cover some options that can vary from relationship to relationship within each type. These options will help you further refine the behavior of each relationship. Identifying versus Non-Identifying Relationships When the primary key of a child entity requires that the primary key of its parent entity be included, then the relationship between the entities is said to be identifying. This is because the child entity’s unique attribute relies on the parent entity’s unique attribute to correctly identify the corresponding instance.
A developer's guide to data modeling for SQL server : covering SQL server 2005 and 2008 by Eric Johnson