There are 16 repositories under apache-flink topic.
The Apache Flink SQL Cookbook is a curated collection of examples, patterns, and use cases of Apache Flink SQL. Many of the recipes are completely self-contained and can be run in Ververica Platform as is.
Yet Another UserAgent Analyzer
Low-code tool for automating actions on real time data | Stream processing for the users.
[DEPRECATED] Kubernetes operator for managing the lifecycle of Apache Flink and Beam applications.
Elastic data processing with Apache Pulsar and Apache Flink
Dagger is an easy-to-use, configuration over code, cloud-native framework built on top of Apache Flink for stateful processing of real-time streaming data.
Distributed Temporal Graph Analytics with Apache Flink
A data generator source connector for Flink SQL based on data-faker.
Kubernetes operator for managing the lifecycle of Apache Flink and Beam applications.
flink-tensorflow - TensorFlow support for Apache Flink
Framework for Apache Flink unit tests
A complete example of a big data application using : Kubernetes (kops/aws), Apache Spark SQL/Streaming/MLib, Apache Flink, Scala, Python, Apache Kafka, Apache Hbase, Apache Parquet, Apache Avro, Apache Storm, Twitter Api, MongoDB, NodeJS, Angular, GraphQL
A tool that help automate deployment to an Apache Flink cluster
Simple stream processing pipeline
flink-jpmml is a fresh-made library for dynamic real time machine learning predictions built on top of PMML standard models and Apache Flink streaming engine
Adapter for dbt that executes dbt pipelines on Apache Flink
A curated list of Pulsar tools, integrations and resources.
Euphoria is an open source Java API for creating unified big-data processing flows. It provides an engine independent programming model which can express both batch and stream transformations.
Examples for using Apache Flink® with DataStream API, Table API, Flink SQL and connectors such as MySQL, JDBC, CDC, Kafka.
📡 Real-time data pipeline with Kafka, Flink, Iceberg, Trino, MinIO, and Superset. Ideal for learning data systems.
Amazon Kinesis Data Analytics Flink Starter Kit helps you with the development of Flink Application with Kinesis Stream as a source and Amazon S3 as a sink. This demonstrates the use of Session Window with AggregateFunction.
This repository contains an Apache Flink application for real-time sales analytics built using Docker Compose to orchestrate the necessary infrastructure components, including Apache Flink, Elasticsearch, and Postgres
Streaming Synthetic Sales Data Generator: Streaming sales data generator for Apache Kafka, written in Python
rtdl makes it easy to build and maintain a real-time data lake
Jupyter Integration for Flink SQL via Ververica Platform
Stream processing guidelines and examples using Apache Flink and Apache Spark
Confluent for Visual Studio Code
Technical solution to implement event processing prioritization with Apache Kafke using the concept of buckets.
A complete real-time Change Data Capture (CDC) pipeline using Apache Flink, MariaDB, and Docker Compose. This project demonstrates how to build a modern streaming analytics system that processes database changes in real-time.
Apache Flink Connectors for OceanBase.
A sample implementation of stream writes to an Iceberg table on GCS using Flink and reading it using Trino