Kafka Streams for Low Code Environments
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Updated
Jul 17, 2024 - Java
Kafka Streams for Low Code Environments
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.
Scottify is the official media services provider of Starfleet 🖖
Apache Kafka for python distributed streaming and processing systems
Demo Scenarios discussed in my Red Hat Developers article series
Phone Bridge Project
A Distributed Systems project using kafka, spring boot and docker
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.
A reliable subsystem to distribute data across multiple datacenters using multiple languages (C/C++, .NET, JVM enabled languages) over multiple technologies (e.g. Apache Kafka, OpenDDS, etc)
create a streaming application as a simple real-time fraud detection system backed by Apache Kafka using a Python client.
A streaming pipeline for a data lakehouse ( Kafka / MongoDB / Apache Drill)
StreamFlake: Real-Time CDC Pipeline with Kafka and Snowflake
Services with nestjs standalone for gRPC, Kafka, BullMQ (BullJs) e RabbitMQ
SpringBOOT_SpringCloud_repo_utils
Improve go with hexagonal pattern design by integrating with docker, kafka and postgres technologies
This repo consists of codes of python programming language , Object oriented programming in python, flask, machine learning , Deep Learning, Natural Language Processing, Computer Vision etc. which are used in data science field
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