Why would an Enterprise Architect use a single enterprise-wide canonical data model (CDM) when designing an integration solution using Anypoint Platform?
A.
To reduce dependencies when integrating multiple systems that use different data formats
B.
To automate Al-enabled API implementation generation based on normalized backend databases from separate vendors
C.
To leverage a data abstraction layer that shields existing Mule applications from nonbackward compatible changes to the model's data structure
D.
To remove the need to perform data transformation when processing message payloads in Mule applications
An Enterprise Architect would use a single enterprise-wide canonical data model (CDM) when designing an integration solution to achieve the following benefits:
Reduced Dependencies: By standardizing on a single data model, it simplifies the integration process between multiple systems that may use different data formats. This eliminates the need for numerous point-to-point transformations.
Consistency and Reusability: A CDM ensures consistent data representation across the enterprise, which promotes data integrity and reusability of integration components.
Simplified Maintenance: Having a single data model reduces the complexity of maintaining and updating integration solutions, as changes need to be made in only one place.
The CDM acts as an abstraction layer that decouples systems, facilitating easier integration and reducing the potential for errors.
References
MuleSoft Documentation on Canonical Data Models
Best Practices for Data Integration with MuleSoft
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