This repo demonstrates the development of a real-time data pipeline designed to ingest, process, and analyze stock market data. Using cutting-edge tools like Apache Kafka, PostgreSQL, and Python, the pipeline captures stock data in real-time and stores it in a robust data architecture, enabling timely analysis and insights.

Kafka Streams without Java

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.

Apache Kafka for python distributed streaming and processing systems

Scottify is the official media services provider of Starfleet 🖖

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.

create a streaming application as a simple real-time fraud detection system backed by Apache Kafka using a Python client.

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)

Demo Scenarios discussed in my Red Hat Developers article series

Spring - Kafka - FLaNK Stack Air Quality

A Distributed Systems project using kafka, spring boot and docker

Phone Bridge Project

MTA Snowpipe Streaming v2 + OpenFlow + Iceberg + Snowflake + AI

Buit Uber Data Architecture from scratch

A streaming pipeline for a data lakehouse ( Kafka / MongoDB / Apache Drill)

This project focused on real-time stock market data streaming using Apache Kafka. The project demonstrates how to use Apache Kafka for capturing, processing and streaming stock market data efficiently. It is implemented entirely in Jupyter Notebook and deployed in Amazon EC2 instance and S3; Amazon Athena, Glue and crawler is used to consume data..

I am adding step by step complete learning of Spring Boot in this Repository

This project is a full-stack web application project and it was created with Java and React. Spring Cloud was used in this project to create the microservice architecture. Detailed explanations of the services in the microservice architecture are explained in the readme files of the services.

StreamFlake: Real-Time CDC Pipeline with Kafka and Snowflake

Services with nestjs standalone for gRPC, Kafka, BullMQ (BullJs) e RabbitMQ

Gregor is a Python program that produces fake data into an Apache Kafka topic for demo purposes

Microservices with Nestjs + Kafka

RabbitMQ + Kafka

A multi-agent AI system for autonomous real-time detection, verification, and response to viral misinformation on social media during crises.

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SpringBOOT_SpringCloud_repo_utils

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

Improve go with hexagonal pattern design by integrating with docker, kafka and postgres technologies

Sample ECommerce with Microservices - using spring cloud config , spring cloud eureka , api-gateway ,apache kafka -event driven- postgresql-docker desktop , docker