Which integration pattern is most appropriate for transforming data into a suitable format for your OutSystems application?

The most appropriate integration pattern for transforming data into a suitable format for your OutSystems application is the Canonical Data Model. This pattern is particularly useful in scenarios where data needs to be standardized across various sources and then transformed to fit the business application's requirements.

Using a Canonical Data Model allows you to define a consistent representation of the data that can be understood by different systems while maintaining the flexibility to adapt to varying data formats. This means that instead of dealing with multiple formats and structures from different applications or databases, the Canonical Data Model provides a single data format that can simplify integrations and transformations.

This approach makes it easier to manage and evolve the data model over time since changes to the data can be handled centrally at the canonical layer rather than requiring changes across all the integrated systems individually. It facilitates clearer communication and reduces the likelihood of data discrepancies.

In contrast, the other integration patterns might not serve as effectively for transforming and standardizing data. For example, Direct Database Access allows for direct interaction with a database but does not inherently provide a mechanism for transformation or standardization. Shared Database has its own limitations in terms of tightly coupling applications and could lead to issues with data integrity and versioning among different applications. Remote Procedure Invocation focuses on executing procedures remotely and may