The document discusses using Hadoop for network and security analytics. It describes how Hadoop allows analyzing large amounts of network traffic data to detect malicious or abnormal activity that would be difficult to find through traditional means. Specifically, Hadoop enables running sophisticated algorithms over vast datasets and combining multiple analytic passes and tools like clustering and machine learning. The author provides an example workflow for detecting a polymorphic botnet and explains how their system leverages different tools like Hadoop, a streaming analysis engine, and a relational database to break problems into pieces and get results faster than any single tool could achieve.