A Developer's Guide to Data Modeling for SQL Server: by Eric Johnson

By Eric Johnson

Powerful facts modeling is vital to making sure that your databases will practice good, scale good, and evolve to satisfy altering specifications. despite the fact that, in case you are modeling databases to run on Microsoft SQL Server 2008 or 2005, theoretical or platform-agnostic info modeling wisdom is not sufficient: versions that do not mirror SQL Server's targeted real-world strengths and weaknesses usually bring about disastrous functionality.

Show description

Read Online or Download A Developer's Guide to Data Modeling for SQL Server: Covering SQL Server 2005 and 2008 PDF

Best data modeling & design books

Database Modeling and Design: Logical Design

Database platforms and database layout know-how have gone through major evolution in recent times. The relational information version and relational database platforms dominate company functions; in flip, they're prolonged by way of different applied sciences like info warehousing, OLAP, and information mining. How do you version and layout your database software in attention of recent expertise or new company wishes?

Crystal Reports 2008 The Complete Reference

Your One-Stop consultant to firm Reporting with Crystal studies 2008Transform disconnected company information into compelling, interactive company intelligence utilizing the entire robust instruments to be had in Crystal experiences 2008. via certain motives, real-world examples, and professional suggestion, this finished consultant exhibits you ways to create, retain, and distribute dynamic, visually attractive firm database reviews.

Introduction to Pattern Recognition: A Matlab Approach

An accompanying guide to Theodoridis/Koutroumbas, trend popularity, that incorporates Matlab code of the most typical equipment and algorithms within the booklet, including a descriptive precis and solved examples, and together with real-life facts units in imaging and audio popularity. *Matlab code and descriptive precis of the most typical tools and algorithms in Theodoridis/Koutroumbas, trend popularity 4e.

Data Structures and Algorithms with JavaScript: Bringing classic computing approaches to the Web

As an skilled JavaScript developer relocating to server-side programming, you want to enforce vintage info constructions and algorithms linked to traditional object-oriented languages like C# and Java. This functional consultant exhibits you ways to paintings hands-on with various garage mechanisms—including associated lists, stacks, queues, and graphs—within the limitations of the JavaScript setting.

Extra resources for A Developer's Guide to Data Modeling for SQL Server: Covering SQL Server 2005 and 2008

Sample text

To continue our Schools and Deans scenario, what if a university decides to implement a policy whereby each school has more than one dean? 4. info 38 Chapter 2 Elements Used in Logical Data Models You can see that there is a relationship between the entities such that you might have more than one dean for each school. This relationship is inherently scalable, because the separate entities can be updated and managed independently. Many-to-Many Relationships Of the logical relationships, many-to-many relationships, also called nonspecific relationships, are the most difficult concept, and possibly the most difficult to design.

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. info 34 Chapter 2 Elements Used in Logical Data Models fails unless all matching child entries are removed first.

Be wary of attaching attributes to one entity that actually belong to another entity. info 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.

Download PDF sample

Rated 4.45 of 5 – based on 31 votes