By Eric Johnson
“ A Developer’s consultant to information Modeling for SQL Server explains the thoughts and perform of information modeling with a readability that makes the expertise 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 paintings that includes years of expertise. If you’re new to info modeling, or locate the necessity to brush up on its recommendations, this e-book is for you.”
—Peter Varhol, govt Editor, Redmond Magazine
Model SQL Server Databases That paintings greater, 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 though, if you’re modeling databases to run on Microsoft SQL Server 2008 or 2005, theoretical or platform-agnostic facts modeling wisdom isn’t sufficient: types that don’t mirror SQL Server’s precise real-world strengths and weaknesses usually result in disastrous functionality.
A Developer’s advisor to facts Modeling for SQL Server is a pragmatic, SQL Server-specific advisor to information modeling for each developer, architect, and administrator. This ebook provides you with necessary start-to-finish counsel for designing new databases, remodeling latest SQL Server information versions, and migrating databases from different structures.
You’ll commence with a concise, sensible evaluate of the center info modeling thoughts. subsequent, you’ll stroll via requisites amassing and become aware of tips on how to convert standards 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 better half website.
This publication allows you to
- Understand your facts model’s actual components, from garage to referential integrity
- Provide programmability through kept tactics, user-defined services, triggers, and .NET CLR integration
- Normalize information versions, one step at a time
- Gather and interpret requisites extra effectively
- Learn a good method for developing logical models
- Overcome modeling difficulties regarding entities, characteristic, facts varieties, garage overhead, functionality, and relationships
- Create actual models—from developing naming guidance via imposing enterprise ideas and constraints
- Use SQL Server’s specified indexing features, and conquer their limitations
- Create abstraction layers that improve safeguard, extensibility, and flexibility
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Additional info for A developer's guide to data modeling for SQL server : covering SQL server 2005 and 2008
Because each entity should have a key attribute that uniquely identifies each record the entity contains, you can relate key attributes in parent and child entities based on those keys. 1. 1 Primary key and foreign key This example shows a basic relationship between two entities. After creating the relationship, you specify in its definition any constraints on data manipulation actions on the parent and child entities. For example, you can specify that any INSERT into the child entity should fail if there isn’t already a parent instance with a matching primary key value.
You’ll build everything else on these objects. Specifically, these are tables, views, and data types. Tables Tables are the building blocks on which relational databases are built. Underneath everything else, all data in your database ends up in a table. Tables are made up of rows and columns. Like a single instance in an entity, each row stores information pertaining to a single record. For example, in an employee table, each row would store the information for a single employee. The columns in the table store information about the rows in the table.
To contrast char with varchar, specifying char(10) results in a field that contains ten characters, even if a specific instance of an entity has six characters in that specific attribute. The remaining four characters are padded. If the attribute is defined as a varchar(10), then there will be only six actual characters stored. The n prefix specifies that the data is being stored in a Unicode format. Unicode is an international, platform-agnostic specification for the storage of character data.