Description: Data Juxtaposition in the context of edge computing refers to the act of placing data from different sources side by side to facilitate comparison or analysis. This approach allows edge computing systems to process and analyze data in real-time, leveraging proximity to the data source. Data juxtaposition is essential for informed decision-making, as it enables analysts and automated systems to identify patterns, anomalies, and correlations between datasets that might otherwise go unnoticed. In environments where latency is critical, such as in various IoT (Internet of Things) applications, the ability to efficiently and quickly compare data becomes a determining factor for the performance and effectiveness of implemented solutions. This process not only enhances the quality of analyses but also optimizes resource usage, as it allows calculations and decisions to be made where data is generated, reducing the need to send large volumes of information to central servers for processing.
