Description: Narrow data flow refers to a data processing pattern where data flows through a limited number of transformations, enhancing performance. This approach is characterized by its efficiency in data manipulation, as it minimizes latency and maximizes throughput by reducing the complexity of operations. In a data processing environment, a narrow data flow allows data to be processed more quickly and effectively, as each transformation is applied directly without the need for multiple intermediate stages. This is particularly relevant in real-time processing systems, where speed and efficiency are crucial. Additionally, narrow data flow facilitates scalability, enabling applications to handle large volumes of data without compromising performance. In the context of stream data processing, this pattern is used to optimize data handling, ensuring that applications can respond quickly to events and changes in data. In summary, narrow data flow is a key concept in modern data processing, aiming to improve efficiency and speed in information manipulation.
