Data Traffic Management refers to the process of controlling and optimizing the flow of data across networks. It ensures that data packets are transmitted efficiently, reducing congestion and improving overall network performance. This is crucial for maintaining the quality of services, especially in environments with high data demand, such as cloud computing and streaming services. Techniques used in data traffic management include bandwidth allocation, traffic shaping, and load balancing. These methods help prioritize important data, manage network resources effectively, and ensure that users experience minimal delays. By implementing these strategies, organizations can enhance user satisfaction and maintain reliable connectivity.