Description: A temporal query is a type of query that focuses on data organized based on time. This approach allows analysts and data scientists to extract relevant information from datasets that contain timestamps, facilitating the analysis of trends, patterns, and behaviors over time. Temporal queries are fundamental in the realm of Big Data and Edge AI, as they enable the processing and analysis of large volumes of data in real-time or near real-time. These queries may include operations such as aggregating data over specific time intervals, comparing data across different periods, and identifying temporal anomalies. The ability to efficiently perform temporal queries is crucial for informed decision-making across various industries, where time plays a vital role in data interpretation.
