In this video, we’ll explore a common challenge in system integration: data enrichment. We’ll dive into how an Enterprise Service Bus (ESB) can address this issue by implementing an enrichment service to handle incomplete messages, perform data translation, and ensure seamless communication between systems. Stay tuned to learn about a simple yet effective architectural pattern that keeps each component responsible for its own tasks.
Today, in our series on Enterprise Service Bus (ESB), we’re going to talk about the problem of data enrichment. Now, what is this problem? Imagine we have a typical integration system where the enterprise service bus is in the middle, and various systems exchange data. What happens if System A sends out a message that ultimately needs to go to System D, but the message is incomplete? What if it needs to be merged with other databases, or if reference numbers or product catalogue IDs need to be translated, and the original system doesn’t have that data? This is a very common situation. So how do we handle it?
What we’re going to look at now is an architectural pattern that can help. The idea is that your enterprise service bus can include an enrichment service that performs message translation and transformation. Some systems need data from more than one dataset, especially when the original message is incomplete. This process isn’t just about formatting; it’s about changing the actual data, not just the format.
What we can do is implement an enrichment service on the ESB. This service will be stateful, meaning it will store some data, such as lookup data, data translations, or reference numbers—whatever is required. This enrichment service can subscribe to messages from other systems and store the necessary data, or you can preload that data separately. Either way, that’s not an issue here.
When System A sends out its message, it will pass through the enrichment service, which modifies the message by performing the required translation or adding additional data. The enriched message can then be republished and sent to the downstream system that needs it.
This is a clean and simple architectural pattern that keeps each component responsible for its own tasks, which is exactly what you want.
