RDBMS Data Modeling

1 - About

A data model in software engineering is an abstract model that try to represent the reality and describes how data are represented and accessed. Data models formally define data elements and relationships among data elements for a domain of interest.

Data modeling is the foundation of most database-centered transaction processing systems and data warehouse systems.

There is not a right or wrong way of doing things as design decision involves trade-offs between performance (latency) against reduction of data duplicate and design complexity.

3 - Types of Physical Models (Schema)

The difference between model (ER, Dimensional, Vault) has everything to do with terminology and method.

There are two basic types of physical models :

E-R models are designed to minimize data storage redundancy and optimize data updates.

Dimensional models are designed to enhance understandability and to optimize query performance.

  • Data Vault

The Data Vault consists of three primary entity types:

  • Hubs,
  • Links,
  • and Satellites.

The Hubs are core business keys, the Links form all relationships, and the Satellites provide all descriptive information.

4 - Data Modeling Concepts

5 - Documentation / Reference

  • Bookmark "RDBMS Data Modeling" at del.icio.us
  • Bookmark "RDBMS Data Modeling" at Digg
  • Bookmark "RDBMS Data Modeling" at Ask
  • Bookmark "RDBMS Data Modeling" at Google
  • Bookmark "RDBMS Data Modeling" at StumbleUpon
  • Bookmark "RDBMS Data Modeling" at Technorati
  • Bookmark "RDBMS Data Modeling" at Live Bookmarks
  • Bookmark "RDBMS Data Modeling" at Yahoo! Myweb
  • Bookmark "RDBMS Data Modeling" at Facebook
  • Bookmark "RDBMS Data Modeling" at Yahoo! Bookmarks
  • Bookmark "RDBMS Data Modeling" at Twitter
  • Bookmark "RDBMS Data Modeling" at myAOL
data_modeling/data_modeling.txt ยท Last modified: 2017/01/20 21:55 by gerardnico