Data Model

• Hierarchical Model.
• Network Model.
• Entity-Relationship Model.
• Relational Model.
• Object-Oriented Data Model.
• Object-Relational Data Model.
• Flat Data Model.
• Semi-Structured Data Model.

Data models are visual representations of an enterprise’s data elements and the connections between them. By helping to define and structure data in the context of relevant business processes, models support the development of effective information systems.

What are the 3 Types of Data Models? Conceptual data models, logical data models and physical data models make up the three types of data model. While they require different approaches to build, each type of data model conveys the same information, from different perspectives.

Data modeling is often the first step in database design and object-oriented programming as the designers first create a conceptual model of how data items relate to each other. So Data modeling is simply the process of learning about the data, and the data model is the end result of the data modeling process.

Step-by-Step Guide to Data Modeling

• Step 1: Choose a Data Source.
• Step 2: Selection of Data Sets.
• Step 3: Selection of Attributes, Columns and Metrics.
• Step 4: Relationship Tool.
• Step 5: Hierarchies.
• Step 6: Roles & Permissions.
• Step 7: Finalization and Deployment.

A data model (or datamodel) is an abstract model that organizes elements of data and standardizes how they relate to one another and to the properties of real-world entities.

Advertisements. Data models define how the logical structure of a database is modeled. Data Models are fundamental entities to introduce abstraction in a DBMS. Data models define how data is connected to each other and how they are processed and stored inside the system.

Many Data Modeling tutorials discuss the three primary types of data models: logical, physical, and conceptual. The Data Administration Newsletter ( TDAN.com) defines each of them as: “A physical data model represents the actual structure of a database—tables and columns, or the messages sent between computer processes.

A data usage model shows where data is created and used by which processes. Some examples of data usage models are CRUD (create, read, update, delete) matrices and data flow diagrams. It is these that show how the process and data models interact with each other.

There are a number of classification models. Classification models include logistic regression, decision tree, random forest, gradient-boosted tree, multilayer perceptron, one-vs-rest, and Naive Bayes.

The flat database model is the simplest of all databases. It is used when all the database values are similar, and there is only a small amount of information that needs to be stored. This schema shows all the data in a table or spreadsheet, with each row being a different record.