Description: Data flow refers to the path that information takes through a system, including its input, processing, and output. This concept is fundamental in computing and systems engineering, as it allows for an understanding of how information moves and transforms within a technological environment. In real-time systems, for example, data flow is critical to ensure that tasks are executed at the right moment and with the necessary precision. In monolithic systems, data flow can be more rigid, as all components are interconnected, which can affect the system’s flexibility and scalability. In contrast, in more modern architectures such as microservices or distributed systems, data flow is managed more dynamically, allowing for greater adaptability and efficiency. Proper management of data flow is essential to optimize system performance, minimize latency, and ensure the integrity of information throughout its lifecycle, from input to output. In summary, data flow is a key concept underlying the operation of various technological systems, influencing their design, implementation, and functioning.
