Data-driven enterprises need to keep their back end and analytics systems in near real-time sync with customer-facing applications. The impact of transactions, updates, and changes must reflect accurately through end-to-end processes, related applications, and online transaction processing (OLTP) systems. The tolerable latency for changes in OLTP applications to reflect in the downstream systems that use the data might be just a few minutes.
https://learn.microsoft.com/en-us/azure/architecture/example-scenario/data/real-time-lakehouse-data-processing
