Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Alkis Simitsis

Alkis Simitsis
Chief Scientist, Cybersecurity Analytics, Micro Focus

Alkis Simitsis is a chief scientist for cybersecurity analytics at Micro Focus. Alkis has more than 15 years of experience building innovative information and data management solutions in areas like real-time business intelligence, security, massively parallel processing, systems optimization, data warehousing, graph processing, and web services. He holds 26 US patents and has filed over 50 patent applications in the US and worldwide. He’s published more than 100 papers in refereed international journals and conferences (top publications cited 5,000+ times) and frequently serves in various roles in program committees of top-tier international scientific conferences. He’s also an IEEE senior member and a member of the ACM.

Sessions

11:50am–12:30pm Thursday, March 28, 2019
Automation of root cause analysis for big data stack applications
Data Engineering & Architecture
 Location: 2024
Secondary topics:  Automation in data science and big data, Deep Learning
Alkis Simitsis (Micro Focus), Shivnath Babu (Unravel Data Systems | Duke University)
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Alkis Simitsis and Shivnath Babu share an automated technique for root cause analysis (RCA) for big data stack applications using deep learning techniques, using Spark and Impala. The concepts they discuss apply generally to the big data stack. Read more.