Elastic data processing with Apache Pulsar and Apache Flink
Flink Tutorial Project
Http Connector for Apache Flink. Provides sources and sinks for Datastream , Table and SQL APIs.
This repository provides Scotty, a framework for efficient window aggregations for out-of-order Stream Processing.
🌟 Examples of use cases that utilize Decodable, as well as demos for related open-source projects such as Apache Flink, Debezium, and Postgres.
Examples of Flink on Azure
Collection of code examples for Amazon Managed Service for Apache Flink
Sample project for Apache Flink with Streaming Engine and JDBC Sink
Amazon Managed Service for Apache Flink Benchmarking Utility helps with capacity planning, integration testing, and benchmarking of Amazon Managed Service for Apache Flink applications.
A Flink applcation that demonstrates reading and writing to/from Apache Kafka with Apache Flink
A sample implementation of stream writes to an Iceberg table on GCS using Flink and reading it using Trino
Demo Flink and Kafka project to show how to react on tracking events in real-time and trigger offer for customer engagement based on campaign configurations. The project also utilizes the Broadcast State Pattern in order to update the rules (campaigns) at runtime without restarting the project, using a dedicated, low-frequency, Kafka topic.
Flink HTTP Sink Connector
Is using KoP (Kafka-On-Pulsar) a good idea? Use the scenarios implemented in this repository to check whether Pulsar with KoP enabled is a good fit for your most common Kafka workloads.
The Dynamic Rules Engine is a serverless application that enables real-time evaluation of rules against sensor data, leveraging AWS Kinesis Data Streams, Amazon Managed Service for Apache Flink, and AWS Lambda.
Sample Apache Flink application that can be deployed to Amazon Managed Service for Apache Flink. It reads taxi events from a Kinesis data stream, processes and aggregates them, and ingests the result to an Amazon OpenSearch Service cluster for visualization with Dashboard.
Stream processing for the Mangolaa platform using Apache Kafka, Apache Flink, Java 8 and Lombok
Stream processing of simulated on-vehicle sensors data
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