A summary table (also known as an aggregate table) stores pre-computed data states to enable significantly faster query responses for dashboards and real-time reporting. By grouping raw data into metrics like sums, averages, or counts during the ingestion process, these tables reduce the computational load required to visualize trends. This approach allows organizations to analyze massive volumes of information efficiently without the latency associated with scanning raw logs.