Data Modeling as a business has been practiced in the IT sector for many decades. As an idea, the data model is a means to arrive at the diagram by examining the data in question and getting a deep knowledge. The method of representing the data visually encourages the business and the technology specialists to understand the data and understand how it will get used.

Kinds Of Data Models

The three principal types of data models are CONCEPTUAL, logical, and physical. Think of them as an improvement from an abstract layout to a detailed mapping of the database setup and final form:

• Conceptual Data Model:
  Conceptual data models are the most simplistic and abstract. Minor annotation happens in this model, but the overall layout and controls of the data relationships are set. You’ll find elements like basic MARKET rules that need to be applied, the levels or entity classes of data that you plan to cover, and any other regulations that may limit layout options. Data models are usually used in the development STAGE of a project.
• Logical Data Model:
  The logical data model extends on the basic framework laid out in the conceptual model, but it counts more relational factors. Thus, some basic annotations are related to overall properties or data attributes, but not many annotations concentrate on actual data units. Hence, this model is beneficial in data warehousing projects.
• Physical Data Model:
  The physical data model is the most comprehensive and the LAST step before database production, it usually accounts for database management system-specific properties and rules.

Advantages Of Data Modeling:

• Data modeling offers several different benefits to companies as part of their data management:
• Before you even build a database, you’ve CLEANED, organized, and modeled your data to project what your next step should look like. Data modeling advances data quality and makes databases limited, prone to mistakes and bad design.
• Data modeling produces a visual flow of data and how you plan to organize it. This supports employees know what’s happening with data and how they relate to the data management puzzle. It also develops data-related communication across departments in an organization.
• Data modeling allows more profound database design, bringing forth more useful applications and data-based business insights down the line.