Inline Analytics with Redis – Fraud Mitigation

Redis incorporates numerous cool data structures that make analytics simple and high performance. Join this session to learn about how customers use Redis for real time analytics such as fraud detection, recommendations generation, maintaining distributed counts for metering, estimating element frequencies and reporting. We will show how data structures in Redis can be used to implement specific fraud detection checks in your application, with live demos.

ABOUT THE SPEAKER

Leena Joshi, VP of Product Marketing, Redis Labs

Leena has spent over fifteen years in the high tech industry in a variety of product marketing and product management roles. Most recently, she spent five years leading the Splunk solutions marketing team for IT operations, application management and application development. Prior to Splunk, she led product marketing for VMware’s flagship product VMware vSphere. She has also held product management and business operations roles at VMware, Intel and Accenture. Leena has a Bachelor of Engineering degree in computer technology from VJTI (the University of Mumbai), and a post graduate degree in management from the Indian Institute of Management Calcutta.

Kyle Davis, Technical Marketing Manager, Redis Labs

Kyle Davis is the Technical Marketing Manager at Redis Labs. Before joining Redis Labs, he worked as an independent full-stack architect and code quality consultant. Kyle has written extensively on Node.js and Redis. Kyle holds a Bachelors of Science in Computer Publishing & Telecommunications from the University of Southern Indiana and a Masters of Science in College Student Personnel Administration from the University of Central Missouri.