Cybersecurity is a big data challenge. Applications and security devices create terabytes of logs per day in hundreds of different formats, but security analysts can only investigate a portion of the events. Which ones should they investigate? Which events are related? Enter Apache Metron, a real-time security analytics platform that ingests, normalizes, enriches, triages, and stores application and security events in a data lake.
Carolyn Duby walks you through the main features of Metron using a standard cybersecurity data feed. You’ll leave ready to explore Apache Metron on your own cybersecurity event data.
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Carolyn Duby is a solutions engineer at Cloudera, where she helps customers harness the power of their data with Apache open source platforms. Previously, she was the architect for cybersecurity event correlation at Secureworks. A subject-matter expert in cybersecurity and data science, Carolyn is an active leader in the community and frequent speaker at Future of Data meetups in Boston, MA, and Providence, RI, and at conferences such as Open Data Science Conference and Global Data Science Conference. Carolyn holds an ScB (magna cum laude) and ScM from Brown University, both in computer science. She’s lifelong learner and recently completed the Johns Hopkins University Coursera data science specialization.
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The github repo is :
https://github.com/carolynduby/ApacheMetronWorkshop
Will you be updating this page to have the link to the github repo?