Data Modeling Design

A Developers Guide To Data Modeling For Sql Server by Eric Johnson PDF

By Eric Johnson

ISBN-10: 0321497643

ISBN-13: 9780321497642

A Developer’s advisor to information Modeling for SQL Server explains the strategies and perform of knowledge modeling with a readability that makes the expertise available to somebody development databases and data-driven applications.

“Eric Johnson and Joshua Jones mix a deep knowing of the technological know-how of knowledge modeling with the artwork that incorporates years of expertise. If you’re new to info modeling, or locate the necessity to brush up on its options, this publication is for you.”
Peter Varhol, government Editor, Redmond Magazine

Model SQL Server Databases That paintings higher, Do extra, and Evolve extra easily

Effective facts modeling is key to making sure that your databases will practice good, scale good, and evolve to satisfy altering specifications. although, if you’re modeling databases to run on Microsoft SQL Server 2008 or 2005, theoretical or platform-agnostic information 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 advisor to information Modeling for SQL Server is a realistic, SQL Server-specific consultant to information modeling for each developer, architect, and administrator. This publication will give you worthwhile start-to-finish information for designing new databases, remodeling current SQL Server facts versions, and migrating databases from different structures.

You’ll start with a concise, useful assessment of the middle info modeling ideas. subsequent, you’ll stroll via requisites amassing and realize tips to convert requisites into powerful SQL Server logical versions. ultimately, you’ll systematically rework 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 e-book permits you to

  • Understand your info model’s actual parts, from garage to referential integrity
  • Provide programmability through kept systems, user-defined services, triggers, and .NET CLR integration
  • Normalize info types, one step at a time
  • Gather and interpret requisites extra effectively
  • Learn an efficient method for developing logical models
  • Overcome modeling difficulties on the topic of entities, characteristic, facts kinds, garage overhead, functionality, and relationships
  • Create actual models—from setting up naming guidance via enforcing company principles and constraints
  • Use SQL Server’s specific indexing functions, and triumph over their limitations
  • Create abstraction layers that increase protection, extensibility, and flexibility

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Extra resources for A Developers Guide To Data Modeling For Sql Server

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You can’t see it in the figure, but this table goes all the way up to a column called Ques61. In fact, my application dynamically added columns if you were creating a test with more questions than the database could support. To be honest, I don’t remember how I made any use of this data. The application is a bunch of spaghetti code that I can’t even follow anymore. That’s enough self-deprecation for now, but I wanted to show you how a bad model can make data retrieval very difficult. 6 An example of a poorly designed response table for a testing application Performance Tuning In my experience, when a database performs poorly it seldom stems from transaction load or limited hardware resources; often, it’s because of poor database design.

As we mentioned, SQL Server 2008 provides four new date and time data types: date, time, datetime2, and datetimeoffset. These new data types store date and time data in more flexible ways than their predecessors. The date and time data types are the most straightforward; they store only the date portion or only the time portion of a given value. The datetime2 data type, which is not cleverly named, is just like datetime except that you can specify a variable length for the precision of fractional seconds from 0 to 7.

In this part, we talk through the requirements of Mountain View Music and describe how we went about extracting them. Requirements Gathering In Chapter 5, Requirements Gathering, we look at methods for gathering requirements and explain which sort of information is important. The techniques range from interviewing the end users to reverse-engineering an existing application or system. No matter what methods you use, the goal is the same: to determine what the business needs. It may sound easy, but I have yet to sit down with a customer and have him tell me exactly what he needs.

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A Developers Guide To Data Modeling For Sql Server by Eric Johnson

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