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Flink Demos

  • Getting Started With Pyflink on AWS
    • Apache Flink is widely used for building real-time stream processing applications. On AWS, Amazon Managed Service for Apache Flink is the easiest option to develop a Flink app as it provides the underlying infrastructure. Updating a guide from AWS, this series of posts discuss how to develop and deploy a Flink (Pyflink) application on AWS where the data source and sink are Kafka topics.
  • Kafka, Flink and DynamoDB for Real Time Fraud Detection
    • 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 on AWS will be discussed in part 2.
  • Building Apache Flink Applications in Python
    • Building Apache Flink Applications in Java by Confluent is a course to introduce Apache Flink through a series of hands-on exercises. Utilising the Flink DataStream API, the course develops three Flink applications from ingesting source data into calculating usage statistics. As part of learning the Flink DataStream API in Pyflink, I converted the Java apps into Python equivalent while performing the course exercises in Pyflink. This post summarises the progress of the conversion and shows the final output.