Architectural flexibility supports system data modeling by providing the ability to adapt to changing requirements and evolving data structures. When designing a system, it is important to have flexibility in the architecture so that the data model can be easily modified as requirements change. This is particularly important when dealing with complex data structures or when integrating multiple data sources.
Flexibility in system architecture allows for the creation of data models that can be easily updated or modified, even after the system has been deployed. This ability to adapt to changing business needs or data structures reduces the need for extensive rework or redevelopment, resulting in cost savings and increased efficiency.
Modern architectural approaches, such as microservices, employ a modular approach to system design, which allows for additional flexibility in data modeling. A microservices architecture separates system functionality into independent services, which can be updated or replaced without affecting the entire system. This approach allows for greater agility in data modeling as each service can have its own data model and can be modified independently without affecting other parts of the system.
In summary, architectural flexibility in system design is crucial to support efficient system data modeling, allowing for data structures to adapt to changing business needs, resulting in cost savings and increased efficiency.
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