Whitepaper : Model Behavior: An Introduction to Data Models
A data model organizes data elements and standardizes their relation to each other and the properties of real-world entities. E.F. Codd introduced the relational database model in 1970, which uses tables to make databases independent of other software applications. Database normalization is the process of structuring a relational database to reduce data redundancy and improve data integrity.
Some data models are more generalized than the relational model and are sometimes known as post-relational models. A star schema is one such model and is the most common data model used in data warehouses. Star schemas are unnormalized and consist of at least one fact table that references any number of dimension tables.
This paper discusses two of the most common database models, a normalized relational database and unnormalized star schema, each of which has its advantages.
Register to read the full whitepaper.
- Whitepaper: Agile Data Modeling: Not an Option, but Essential
- Whitepaper: Enterprise Data Modeling for Business Intelligence Applications
- Whitepaper: Improve Your Data Modeling Skills
- Whitepaper: Is your Data Modeling Workflow Agile or Fragile?
- Whitepaper: Mastering Data Modeling for Master Data Domains
- Whitepaper: The ROI of Data Modeling
- Webcast: A Perfect Ten: The Data Model
- Webcast: A Photographer and a Data Modeler Walk Into a Bar…
- Webcast: Agile Data Management vs. Agile Data Modeling
- Webcast: Becoming a Better Data Modeler: Part 1 (Data Modeling Certification)
- Webcast: Becoming a Better Data Modeler: Part 2 (Faulty Design Patterns)
- Webcast: Data Modeling and Blockchain
- Webcast: The Importance of Data Model Change Management
- Webcast: You’ve Just Inherited a Data Model – Now What?
- Webcast: Principles of Data Modeling
- Webcast: Put Together the Pieces of your Data Model Puzzle
- Webcast: SQL Server Data Modeling Best Practices
- Infographic: Improve Your Data Modeling Skills
- Infographic: Data Modeling and Collaboration with ER/Studio
Topics : Data Governance,Data Modeling,Enterprise Architecture,
Products : ER/Studio Data Architect,ER/Studio Enterprise Team Edition,