How can edge computing and cloud computing synergistically enhance the efficiency of real-time data processing?

In recent years, edge computing has emerged as a complementary technology to cloud computing, aiming to bring processing power closer to the data source. This shift is particularly crucial for applications requiring immediate analysis and decision-making, such as autonomous vehicles, smart cities, and IoT devices. By processing data closer to the point of generation, edge computing can reduce latency and bandwidth usage. However, cloud computing still plays a vital role in storing and analyzing large volumes of data over time. This leads to an interesting intersection where both paradigms can work together. How can these technologies be integrated to maximize the efficiency of real-time data processing while maintaining the scalability and analytical power of the cloud?