apacheflink

Upserts, Deletes And Incremental Processing on Big Data.

SQL CLI for Apache Flink® via docker-compose

FLaNK AI Weekly covering Apache NiFi, Apache Flink, Apache Kafka, Apache Spark, Apache Iceberg, Apache Ozone, Apache Pulsar, and more...

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.

Demonstrates a best practice implementation for using an AWS Lambda function to deploy a Flink Job Graph to Confluent Cloud for Apache Flink.

Demo UI for the flink-real-time-crm project using Spring Boot with Thymeleaf. The Demo UI is able to send messages to and consume from the related Kafka topics.

This project focuses on real-time data streaming with Kinesis, using Flink for advanced processing and OpenSearch for analytics. This architecture has succinctly handled the complete lifecycle of data from ingestion to actionable insights, making it a comprehensive solution.

Document my Apache Flink learning experience

🐙 Big-Data: Reference for big data architecture layers—data ingestion/streaming, processing (Spark, MapReduce, Flink, Kafka Streams), data cataloging and ETL pipeline design.