The document discusses the Apache Metron Profiler, which generates profiles describing the behavior of entities like hosts, users, and applications by extracting feature sets from high-throughput streaming data. It describes how the profiler creates logical windows that span both time and data sources to look across these dimensions. An example "hello world" profile is provided that counts the number of telemetry messages for each unique source IP address to demonstrate how profiles work. The use of a profile debugger for efficiently creating, testing, and deploying new profiles is also covered.