This document summarizes a project analyzing cyber attack hotspots in real time from streaming data. It discusses using anti-virus company data at 4000-6000 events per minute, scaling up using augmented data, and calculating Getis-Ord scores to identify statistically significant clusters of attacks. It also covers implementing a data pipeline using Kafka streams, handling different data formats with custom serializers, and addressing errors like inability to create internal topics. Screenshots show examples of visualizing hotspots and trends.