Invited Speaker Series: Malware Detection using Spark on MapR

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We are continuing our invited speaker series this month. Sungwook Yoon, Data Scientist at MapR, will be presenting on "Malware Detection Using Spark On MapR". Data Science is commonly used to analyze activity and access data to uncover unknown risks - this talk discusses how Spark can be used in MapR for malware detection applications.

MapR is an enterprise software company that develops and sells Apache Hadoop-derived software. The company contributes to Apache Hadoop projects like HBase, Pig (programming language), Apache Hive, and Apache ZooKeeper. MapR's Apache Hadoop distribution claims to provide full data protection, no single points of failure, improved performance, and dramatic ease of use advantages.

Apache Spark is an open-source data analytics cluster computing framework originally developed in the AMPLab at UC Berkeley. Spark fits into the Hadoop open-source community, building on top of the Hadoop Distributed File System (HDFS).

About the Presenter

Sungwook is a Data Scientist at MapR. Sungwook's data experience includes, malware detection algorithms for packet stream analysis, mobile network signaling analysis, social network analysis, job title analysis as well as call center data analysis. Before joining MapR, Sungwook worked as a Research Scientist at Palo Alto Research Center and as an Architect in Seven Networks. Sungwook's main technical background lies in Artificial Intelligence and Machine Learning. Sungwook holds Ph.D. degree from Purdue University and is a graduate from Seoul National University.

Program Schedule

We will begin with pizza and drinks at 5:30 pm followed by introductions. The talk will start at around 6:30 pm and will be done by 7:30 pm.