Message Transformation

Content Enricher

Look up or compute missing information and add it to the message before forwarding it to the next participant.

enrichmentlookuptransformation
The problem
How do we communicate with another system if the message originator does not have all the required data items available?
Adapted from Enterprise Integration Patterns under CC BY 3.0. The visualization and explanatory content on this page are original GateSift material.
Original GateSift visualization

How Content Enricher works

The message representation changes while its business meaning is preserved or enhanced.

Source format
Content Enricher
Target format
1

Receive a message in the producer's structure or envelope.

2

Apply Content Enricher to reshape, enrich, wrap or normalize the content.

3

Deliver a representation that the receiving system can understand.

GateSift explanation

What this pattern helps you decide

Look up or compute missing information and add it to the message before forwarding it to the next participant.

What happens when processing fails or the same message is delivered twice?
Where does state, correlation or routing configuration live?
How will operators trace the message and understand the decision path?
Common Azure implementations

Where you may see it

  • Logic Apps data lookup
  • Azure Function enrichment
  • APIM send-request then set-body
GateSift relevance

How the analyzers can surface it

  • APIM send-request and variables
  • BizTalk orchestration lookups

Pattern detection is contextual. GateSift should present these as architectural signals, not claim a pattern is implemented solely because one policy statement or adapter exists.

Source, licence and attribution

The pattern name and selected problem statement are adapted from Enterprise Integration Patterns by Gregor Hohpe and Bobby Woolf under CC BY 3.0. GateSift summaries, Azure mappings, analyzer guidance and diagrams are original. No endorsement by the original authors is implied.

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