Our June meetup will feature Nathan Clement from Qvalent speaking about detecting online credit card fraud using Apache Kafka.
We'll have pizza and prizes thanks to our sponsors Banlaw and Saphi.
About the talk:
Detecting Online Credit Card Fraud with Apache Kafka Streams
Apache Kafka is a distributed, real-time streaming platform in use at many large companies. Kafka's publish-subscribe streaming model allows companies to move from a request/response pattern of accessing data to an event-driven pattern.
The Kafka Streams library provides useful stream operations such as time-based windows, aggregate functions and joining to reference data. This allows for simple creation of microservices that perform complex processing on streams of data.
This presentation will give an overview of Kafka and Kafka Streams and show how they can be applied to the problem of online credit card fraud detection.
About the speaker:
Nathan Clement, Team Leader - Architecture and Core Technology Team, Qvalent
As the team leader of the Architecture and Core Technology Team at Qvalent, Nathan oversees the company's core messaging and payment systems. This includes maintenance and enhancement of existing business critical systems. It also includes designing and building systems for new payment mechanisms, such as the New Payments Platform. Nathan is experienced in modern software engineering practices, and has championed many new practices and processes at Qvalent. He is committed to continual learning and often experiments with new technologies in his spare time.