In the context of data processing, "data flow" refers to the movement of data between sources and destinations, either within a system or across external networks. It encompasses various stages, including data collection, transformation, and storage, ultimately leading to data consumption by end users or applications. Understanding data flow is essential for optimizing data pipelines and ensuring efficient data handling practices. This concept is crucial in developing applications that rely on real-time insights and supports effective data governance and compliance efforts.