{"repo":"jaehyeon-kim/flink-demos","free":true,"listed":false,"github":"https://github.com/jaehyeon-kim/flink-demos","clone":"git clone https://github.com/jaehyeon-kim/flink-demos.git","description":"Apache Flink Demo Projects","language":"Python","stars":47,"topics":["aws","data-streaming","docker","docker-compose","flink","kafka","kinesis-data-analytics","pyflink","python","real-time-analytics"],"license":null,"category":"deployment-docker-iac","readme_excerpt":"Flink Demos This repository contains the source of the following posts, along with additional learning resources. - 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. - Run Flink SQL Cookbook in Docker - The Flink SQL Cookbook is a practical gu","default_branch":null,"files":null,"tree":[],"storefront":"/r/jaehyeon-kim","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/jaehyeon-kim/flink-demos/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}