How do you handle data transformation and data mapping in Azure Logic Apps?
In Azure Logic Apps, data transformation and mapping are handled using the following components:
1. Integration Account : Create an integration account to store artifacts like schemas, maps, and certificates for enterprise-level B2B scenarios.
2. Schemas : Define message structure using XML or JSON schema files, which help in validating incoming messages and generating sample outputs.
3. Maps : Use XSLT (Extensible Stylesheet Language Transformations) or Liquid templates for transforming input data into desired output format. Upload these maps to the integration account.
4. Transform XML action : Add this action within a logic app workflow to apply XSLT map on XML input data.
5. Transform JSON to JSON action : Utilize this action to apply Liquid template on JSON input data.
6. Parse actions : Use ‘Parse JSON’ or ‘Parse XML’ actions to extract specific values from transformed data and map them to other actions or variables in the workflow.