Inline analytics with Redis – Fraud Mitigation
|When:||May 16th, 2018 | 9:00 AM PST|
|Featured Speaker:||Leena Joshi, VP of Product Marketing, Redis Labs
Kyle Davis, Technical Marketing Manager, Redis Labs
|Audience:||Redis and/or NoSQL users|
You Will Learn
- How to use the in-database analytics of Redis
- How to implement common fraud mitigation scenarios using Redis data structures
- Sample implementations of geographic checks, out-of-hours checks and anomaly detection
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.
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.