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Data modeling is the act of exploring data-oriented structures. When building a database, data modeling implies the creation of a model for data within that database. Data models can be used for a variety of purposes, from high-level conceptual models to physical data models. VTC author, Gavin Powell, covers topics such as normalization and denormalization for relational data modeling, fact dimensional structures for data warehouse data modeling, and basic object data modeling for object databases. Powell also examines useful web sites and vendor software, such as Oracle database, for finding data modeling information. To being learning today, simply click on one of the Data Modeling lessons.
Samples and Example Data Models Part pt. 1
Samples and Example Data Models Part pt. 2
A Relational Database Modeling Tool
ERWin: Changing Physical Structure
The Object-Relational Data Model
Client-Server Versus OLTP Databases
The Object-Relational Database Model
Relational Versus Object Models
What is the Object Data Model?
Some Specifics of the Object Data Model
Why the Relational Model Fails
The Dimensional Data Model Part pt. 1
The Dimensional Data Model Part pt. 2
Star Schemas and Snowflake Schemas
Normalization Versus Denormalizatrion
Referential Integrity Part pt. 1
Referential Integrity Part pt. 2
Types of Indexing in Detail pt. 1
Types of Indexing in Detail pt. 2
Some Good and Bad Tricks Part pt. 1
Some Good and Bad Tricks Part pt. 2
Specialized Data Warehouse Toys
Some Available Database Engines
The Future: Relational or Object?
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