The main difference between data modeling and process modeling is that data modeling is the mechanism of creating a data model for an information system while process modeling is the mechanism of classifying the similar processes together into a model.
Data is important to every business organization. It is necessary to model data to make the maximum use of data. A process, on the other hand, explains a set of activities or tasks. Overall, there are two types of modeling as data and process modeling.
Key Areas Covered
1. What is Data Modeling
-Definition, Functionality
2. What is Process Modeling
-Definition, Functionality
3. Difference Between Data Modeling and Process Modeling
–Comparison of key differences
Key Terms
Conceptual Data Model, Data Modeling, Logical Data Model, Physical Data Model, Process Modeling
What is Data Modeling
Data modeling is the process of creating a data model for an information system. It is also called database modeling because data modeling helps to implement the database. Generally, data modeling involves defining and analyzing the data requirements to support the business process and to generate the actual database. Therefore, data modeling involves professional data modelers and users of the information system.
Mainly, there are three types of data models. The conceptual data model describes the initial requirements with the business stakeholders. It includes important entities and their relationships. However, it does not include any details of attributes and primary keys. The logical data model describes data more than the conceptual data model. It includes the details of attributes, primary keys, and foreign keys and also involves normalization. Finally, the physical data model helps to build the actual database.
Furthermore, there are two other types of data modeling. First, strategic data modeling defines an overall architecture of the information systems. The other type is data modeling during system analysis. It creates logical data models as part of the development of new databases.
Besides, data modeling provides multiple advantages. It helps to manage data as a resource and helps to integrate information systems and to design warehouses. Moreover, managers, analysts, engineers and testers can use them to understand how data is related to each other.
What is Process Modeling
Process modeling is the mechanism of classifying the processes of the same nature together into a model. A process model is a description of a process at the type level. It is possible to use the same process model to develop multiple applications. Generally, a process model describes how things are done.
For example, business process modeling is a type of process modeling. It describes the processes of an organization to support analyzing and to automate. Usually, a business analyst performs business process modeling. It helps to improve the quality of the products, reduce costs, labors and materials.
Overall, process modeling provides a number of advantages. Process modeling tracks what happens during a process. It concerns improvements to increase performance. Furthermore, it denotes the designed processes and how they should work. Process modeling also helps to establish rules and guidelines to increase performance. Additionally, it focuses on data to extract for reporting tasks.
Difference Between Data Modeling and Process Modeling
Definition
Data modeling is the procedure of documenting a complex software design as an easily understood diagram to explain the way data need to flow. On the other hand, process modeling is the procedure of classifying the processes of the same nature together into a model.
Main task
Furthermore, data modeling involves creating data models using formal techniques. But, process modeling categorizes similar processes as a single model.
Conclusion
In brief, the main difference between data modeling and process modeling is that data modeling is the mechanism of creating a data model for an information system while process modeling is the mechanism of classifying the similar processes together into a model.
References:
1. “Data Modeling.” Wikipedia, Wikimedia Foundation, 17 July 2019, Available here.
2. “Process Modeling.” Wikipedia, Wikimedia Foundation, 28 May 2019, Available here.
3. “Business Process Modeling.” Wikipedia, Wikimedia Foundation, 17 July 2019, Available here.
4.” Conceptual Data Model.”1KeyData, Available here.
5. “Logical Data Model” 1KeyData, Available here.
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1.”1443941″ via Pxhere.
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