Question

A new Mule application under development must implement extensive data transformation logic. Some of the data transformation functionality is already available as external transformation services that are mature and widely used across the organization; the rest is highly specific to the new Mule application. The organization follows a rigorous testing approach, where every service and application must be extensively acceptance tested before it is allowed to go into production. What is the best way to implement the data transformation logic for this new Mule application while minimizing the overall testing effort?

Accepted Answer

Implement transformation logic in the new Mute application using DataWeave, invoking existing transformation services when possible

Answer

Implement and expose all transformation logic as mlaoservices using DataWeave, so it can be reused by any application component that needs it, including the new Mule application

Answer

Implement transformation logic in the new Mute application using DataWeave, replicating the transformation logic of existing transformation services

Answer

Extend the existing transformation services with new transformation logic and Invoke them from the new Mule application

A new Mule application under development must implement extensive data transformation logic. Some of the data transformation functionality is already…

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