Description: Fog data processing refers to a computing architecture that sits between the cloud and edge devices, allowing for data processing and analysis closer to the source of generation. This intermediate layer, known as ‘fog’, handles data processing locally before sending it to the cloud, thereby reducing latency and improving response times. This is particularly relevant in applications requiring real-time decisions, such as in the Internet of Things (IoT), where devices generate large volumes of data that need to be analyzed quickly. Fog computing allows for greater efficiency in bandwidth usage, as only the data that truly needs to be stored or deeply analyzed is sent to the cloud. Additionally, this architecture enhances data security and privacy by keeping sensitive information closer to its source. In summary, fog data processing is an innovative solution that optimizes information flow and decision-making in technological environments where speed and efficiency are crucial.
