From Big Data to Linked Data: Making Sense of Massive, Highly Connected, Multi-structured Datasets




Talk Abstract

Linked Data Analysis is an approach designed to more efficiently and effectively interrogate and analyze highly connected Big Data. Linked Data Analysis leverages graph- style search, algorithms, and visualization to power pattern discovery, pattern matching, and anomaly detection. In this talk we will also discuss some primary use cases for Linked Data Analysis, including cyber incident detection and response


Ely Kahn Co-founder and VP of Business Development, Sqrrl

Ely Kahn is a co-founder and VP of Business Development for Sqrrl. Previously, Ely served in a variety of positions in the Federal Government, including Director of Cybersecurity at the National Security Staff in White House, Deputy Chief of Staff at the National Protection Programs Directorate in the Department of Homeland Security, and Director of Risk Management and Strategic Innovation in the Transportation Security Administration. Before his service in the Federal Government, Ely was a management consultant with Booz Allen Hamilton. Ely has a BA from Harvard University and a MBA from the Wharton School at the University of Pennsylvania.

Adam Fuchs Chief Technology Officer, Sqrrl

As the ChiefTechnology Officer and co-founder of Sqrrl,Adam Fuchs is responsible for ensuring that Sqrrl is leading the world in Big Data Infrastructure technology. Previously at the National Security Agency, Adam was an innovator and technical director for several database projects, handling some of the world’s largest and most diverse data sets. He is a co-founder of the Apache Accumulo project. Adam has a BS in Computer Science from the University of Washington and has completed extensive graduate-level course work at the University of Maryland.

Talk Sponsor


Sqrrl is the Big Data Analytics company that lets organizations pinpoint and react to unusual activity by automatically uncovering hidden connections in their data. Sqrrl's linked data analysis platform gives analysts a way to visually investigate these connections, allowing them to rapidly understand their surrounding contexts and take action. With Sqrrl's cybersecurity solution, users can detect and respond to advanced data breaches associated with cyber-espionage activity, insider threats, and other types of hard-to-detect attacks. At the core of Sqrrl’s architecture are a variety of Big Data technologies, including Hadoop, link analysis, machine learning, Data-Centric Security, and advanced visualization.