Python stream processing for Kafka

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

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.

A Python-based graphical user interface (GUI) application for managing and visualizing cryptocurrency portfolios. This user-friendly application fetches real-time data from the CoinMarket API and provides an intuitive interface to track and analyze the value of your cryptocurrency assets.

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

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.

Bachelor thesis project of Michal Bureš made at BUT FIT.

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

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.

A real-time data processing project for analyzing e-commerce sales data. It integrates Apache Kafka 📡 and Apache Spark ⚡ to extract brand information and calculate the top N brands. Results are stored in HBase and displayed in real-time ⏱️. This project enables seamless integration with visualization tools 📊, offering insights into brand trends.