Merging datasets seamlessly

Acme's data team needs to reconcile attendee information before sending personalized welcome emails. The registration system holds attendee names and cities, while a separate payment platform stores transaction amounts and dates. Both datasets share a userId field, but the data is split across two streams.

You'll combine both datasets using a Merge node configured to match records on the shared userId field, producing a single enriched output with all attendee and payment details on every row.