ATM Fraud Detection with Apache Kafka and KSQL

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.

Resources:

• Join 7000 other Confluent Platform users on our Slack group
• Find the code and instructions to run the entire demo
• Get started with KSQL

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