Apache Metron, formerly OpenSOC, integrates a variety of open source big data technologies in order to offer a centralized tool for security monitoring and analysis. Metron provides capabilities for log aggregation, full packet capture indexing, storage, advanced behavioral analytics and data enrichment, while applying the most current threat-intelligence information to security telemetry within a single platform.
In this presentation, we'll provide an introduction to key big data elements used in Metron, such as NiFi, Storm, HDFS and HBase. We'll look at each one in the context of its role in Metron, with the goal of providing those who are new to these technologies sufficient background to apply Metron in a POC of their own.
Nik Lam is a Systems Architect with Hortonworks, the open source big data software vendor. He has spent over 15 years working with open source software, including the past 5 running some of the world's biggest Hadoop clusters for customers such as Ebay and PayPal.
Ned is part of the Solution Engineering team at Hortonworks for the APAC region.
A diversified data engineer with over 10 years of experience in software and hardware with a focused aim to fast track the adoption of Big Data platforms such as Hadoop, data at rest and data in transit covering streaming technology and databases.
During the past years Ned assisted hundreds of adopters and clients around APAC in starting their big data journey and assist in solving their challenges.
Prior to Hortonworks, Ned worked at global companies such as EMC, NTT, NetApp and Sun Microsystems.