What is the Difference Between Entity and Enterprise Data Model

The main difference between Entity and Enterprise Data Model is that Entity Data Model is a model that describes the structure of data despite the stored form, while Enterprise Data Model is a model used by an organization.

Generally, data modelling is the process of creating a data model of the data. It represents data objects, associations and rules. Furthermore, it helps to represent data visually and to understand the business rules applied to data. Overall, two types of data models are entity and enterprise data model.

Key Areas Covered

1. What is an Entity Data Model
      -Definition, Functionality
2. What is an Enterprise Data Model
      -Definition, Functionality
3. Difference Between Entity and Enterprise Data Model
      -Comparison of key differences

Key Terms

Data Modelling, Entity Data Model, Enterprise Data Model, Entity-Relationship Diagrams (ERD)

What is an Entity Data Model

Entity Data Model refers to a set of concepts that describes the structure of data. It does not explain the way of storing data. Moreover, it is capable of extending the traditional uses.

Entity Data Model provides solutions to store data in different forms. For example, a business application might have various data sources such as relational databases, XML files, reports, spreadsheet sheets and text files. Therefore, it is necessary to represent the way of storing, accessing, and moving data. Entity Data Model provides solutions to these issues. It describes the structure of data using entities and relationships that are independent of any storage schema. It makes the stored form of data irrelevant to application design and development. Furthermore, a conceptual model implements the concepts of Entity Data Model.

What is Enterprise Data Model

Enterprise Data Model is a graphical model of data that is used by an enterprise or company. It allows the organization to get a complete view of the data of their organization. An Enterprise Data Model consists of Entity-Relationship Diagrams (ERD), data dictionary, and XML Schemas (XSD). Furthermore, data modelling tools allow the user to create data dictionaries. Additionally, the implementation of an Enterprise Data Model is closely related to the issues of data governance and data stewardship within an organization.

Difference Between Entity and Enterprise Data Model

Definition

Entity Data Model is a model or a set of concepts that describe the structure of data, regardless of its stored form. On the other hand, the Enterprise Data Model is a graphical model of data used by an enterprise or company. Thus, this is the main difference between entity and enterprise data model.

Usage

Moreover, the Entity Data Model provides solutions for having data stored in many forms, while the Enterprise Data Model gives an overview of the business or about the enterprise. Hence, this is another difference between entity and enterprise data model.

Conclusion

In brief, data is essential for every organization. Therefore, each organization store data in various data sources. Data model helps to understand the data. Furthermore, two types of data models are entity and enterprise data model. The main difference between Entity and Enterprise Data Model is that Entity Data Model is a model that describes the structure of data despite the stored form, while Enterprise Data Model is a model used by an organization.

References:

1.Stevestein. “Entity Data Model.” Microsoft Docs, Available here.
2.“Enterprise Data Modeling.” Wikipedia, Wikimedia Foundation, 19 June 2019, Available here.

Image Courtesy:

1.”Figure 3-4: how data models deliver benefit” By 3-4_Data_model_roles.jpg: Matthew West and Julian Fowlerderivative work: Razorbliss (talk) – Developing High Quality Data Models. The European Process Industries STEP Technical Liaison Executive (EPISTLE).3-4_Data_model_roles.jpg (CC BY-SA 3.0) via Commons Wikimedia

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