alonsoir

The purpose of this tiny project is to put things together with the know how that i learned from the course big data expert from formacionhadoop.com The idea is to show how to play with apache spark streaming, kafka,mongo, spark machine learning algorithms.

a demo with spring-boot, kafka, elastic search and docker.

Reproducible multi-sensor NDR instrument (C++20). Correlates aRGus (ML) + Suricata + Zeek + Wazuh into a Kuzu graph by community_id; characterizes each lens's bias vs labelled ground truth. A forensic record of where ML-for-NIDS actually fails. Research artifact, not production.

Working with eclipse collections. http://eclipse.github.io/eclipse-collections-kata