The document discusses how Apache Hadoop can be used for cybersecurity historical analysis. Hadoop allows organizations to capture and archive large amounts of security data from multiple sources at scale. This collected data can then be transformed, enriched, and sessionized within Hadoop to correlate petabytes of information and identify anomalies or security threats. Tools like Impala and Spark can also enable interactive queries and iterative machine learning on Hadoop for further analytics and rare event prediction for cybersecurity monitoring.