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Data modeling tools and techniques

Data modeling is the analysis of data objects that are used in a business or other context and the identification of the relationships among these data objects. Data modeling is a first step in doing object-oriented programming. As a result of data modeling, you can then define the classes that provide the templates for program objects.

Whether formal or informal, data modeling is an essential part of many corporate enterprise application development and data management projects. Browse a collection of data modeling resources to support data modeling tools and techniques and help with data modeling projects. Read including articles to help you evaluate data modeling software tools or get basic definitions and an introduction to the topic through tutorials and podcasts. Or, pose specific questions to data infrastructure modeling and data management experts.

Techzed are Data Models Used in Practice.

we need to discuss how data models can be used in practice to better understand them. You are likely to see three basic styles of data model:

1- Conceptual data models:

These models, sometimes called domain models, are typically used to explore domain concepts with project stakeholders. On Agile teams high-level conceptual models are often created as part of your initial requirements envisioning efforts as they are used to explore the high-level static business structures and concepts. On traditional teams conceptual data models are often created as the precursor to LDMs or as alternatives to LDMs.

2- Logical data models (LDMs):

LDMs are used to explore the domain concepts, and their relationships, of your problem domain. This could be done for the scope of a single project or for your entire enterprise. LDMs depict the logical entity types, typically referred to simply as entity types, the data attributes describing those entities, and the relationships between the entities. LDMs are rarely used on Agile projects although often are on traditional projects (where they rarely seem to add much value in practice).

3- Physical data models (PDMs):

PDMs are used to design the internal schema of a database, depicting the data tables, the data columns of those tables, and the relationships between the tables. PDMs often prove to be useful on both Agile and traditional projects and as a result the focus of this article is on physical modeling.


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