ATM Fraud Detection with Apache Kafka and KSQL

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Presented by

Robin Moffatt, Developer Advocate, Confluent

About this talk

Detecting fraudulent activity in real time can save a business significant amounts of money, but has traditionally been an area requiring a lot of complex programming and frameworks, particularly at scale. Using KSQL, it's possible to use just SQL to build scalable real-time applications. In this talk, we'll look at: -What KSQL is, and how its ability to join streams of events can be used to detect possibly fraudulent activity based on a stream of ATM transactions. -How easy it is to integrate Kafka with other systems—both upstream and downstream—using Kafka Connect to stream from a database into Kafka, and from Kafka into Elasticsearch. * Join 7000 other Confluent Platform users on our Slack group: https://slackpass.io/confluentcommunity * Find the code and instructions to run the entire demo: https://github.com/confluentinc/demo-scene/blob/master/ksql-atm-fraud-detection * Get started with KSQL here: https://www.confluent.io/ksql
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