Low Latency Fraud Prevention with Redis Labs
Time is money, and the difference between milliseconds and microseconds can mean the difference between big profits or losses. In modern business low latency is important, but it’s critical in banking and financial services, especially since fraud has grown to epidemic proportions. Fraudulent charges are costing companies billions of dollars, and that’s why it’s important for IT decision makers in financial services to measure latency in microseconds. A low-latency, scalable, in-memory data store like Redis can enable organizations to architect to meet this critical business need. Drawing from first principles and best practices, learn how to architect to prevent fraud in milliseconds.
Sid Anand currently serves as the Chief Architect for Datazoom, where he builds autonomous streaming data systems for Datazoom's high-fidelity, low latency streaming analytics needs. Prior to joining Datazoom, Sid served as PayPal's Chief Data Engineer, focusing on ways to realize the value of PayPal's hundreds of petabytes of data. Prior to joining PayPal, he held several positions including Agari's Data Architect, a Technical Lead in Search @ LinkedIn, Netflix’s Cloud Data Architect, Etsy’s VP of Engineering, and several technical roles at eBay. Sid earned his BS and MS degrees in CS from Cornell University, where he focused on Distributed Systems. Outside of work, Sid is a maintainer/committer on Apache Airflow and advises early-stage companies and several conferences (QCon, Data Council, and conferences under Skills Matter).