This series re-implements a simple fraud detection application that is discussed in an AWS workshop titled AWS Kafka and DynamoDB for real time fraud detection. In part 1, I demonstrated how to develop the application locally, and the app will be deployed via Amazon Managed Service for Apache Flink in this post.
Apache Flink is widely used for building real-time stream processing applications. On AWS, Kinesis Data Analytics (KDA) is the easiest option to develop a Flink app as it provides the underlying infrastructure. Re-implementing a solution from an AWS workshop, this series of posts discuss how to develop and deploy a fraud detection app using Kafka, Flink and DynamoDB. Part 1 covers local development using Docker while deployment via KDA will be discussed in part 2.
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