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The connected world creates a rate and volume of streaming cybersecurity data that is unprecedented, and attacks are increasingly sophisticated and multifaceted. Yet it is unreasonably time-consuming for security personnel to piece together data from multiple systems to assess the true nature of a single threat across an enterprise.
Learn how big data and data science teams can help information security teams improve threat detection with machine learning and real-time streaming analytics. You will hear from, Michael Schiebel, cybersecurity strategist and James Sirota, Apache Metron committer and Director of Security Solutions at Hortonworks on how to apply big data technology to prevent cybercrime.
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