Python stream processing for Kafka

Streaming IoT data into Confluent/Kafka using MQTT and EMQX | MQTT Kafka Integration

Collecting highlights from the Quix community and social media in the form of interesting questions, comments, challenges, solutions and insights

StreamGuard is a high-performance data management script using Kafka and MongoDB to efficiently handle and process real-time data streams. Ideal for scenarios like live GPS tracking, it features real-time data processing, reduced database load, and bulk data insertion.

Real-time financial data processing using Apache Kafka, Spark, MySQL, and Grafana, orchestrated with Docker. This pipeline fetches, processes, stores, and visualises stock data.

This project offers a dual approach to understanding e-commerce customer behavior through: Batch data analysis and Real-time data processing.

A repository that contains implementation of a Real-Time Vehicle Data Processing Pipeline that efficiently manages and analyzes vehicle data through a cohesive system.

Collecting highlights from the Quix community and social media in the form of interesting questions, comments, challenges, solutions and insights

Bachelor thesis project of Michal Bureš made at BUT FIT.

A Python-based academic performance management app with a dynamic UI using Tkinter and ttkbootstrap. Features include secure SQLite storage, user authentication, real-time course info via SFU API, and Docker deployment for cross-platform compatibility.