There are 3 repositories under data-stream-processing topic.
Distributed stream processing engine in Rust
Memphis.dev is a highly scalable and effortless data streaming platform
Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
Online anomaly detection for data streams/ Real-time anomaly detection for time series data.
Golang app to read records from a set of kafka topics and write them to an elasticsearch cluster
Faust dockerized application
OscillatorIMP ecosystem for the digital characterization of ultrastable oscillators and Software Defined Radio (SDR) frontend processing
This repository includes code for the AutoML-based IDS and adversarial attack defense case studies presented in the paper "Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysis" published in IEEE Transactions on Network and Service Management.
Real-time Emotion Recognition using Physiological signals in e-Learning Here one can find the development of realtime emotion recognition using various physiological signals
Flink Example
Real-time visual analytics for soccer matches, leveraging Apache Flink, Apache Kafka and the Elastic stack. Solution to DEBS 2013 Grand Challenge. Coursework in Systems and Architectures for Big Data 2016/2017.
Apache Kafka for the Hybrid IoT
RealTime StockStream is a streamlined, simulation system for processing live stock market data. It uses Apache Kafka for data input, Apache Spark for data handling, and Apache Cassandra for data storage, making it a powerful yet easy-to-use tool for financial data analysis
Hybrid Forest: A Concept Drift Aware Data Stream Mining Algorithm
Real-time visual analytics application for link prediction and link detection in criminal networks. Research work accepted to the 5th IEEE International Conference on Future of Internet of Things and Cloud (FiCloud 2017).
Simple big data pipeline
Code examples for Chapter 7 of Data Wrangling with JavaScript
Real-Time Multimodal Emotion Classification System in E-Learning Context
Data Mining course projects
Udacity Data Streaming - Project Optimizing Public Transportation
Real-time social media analytics application that monitors posts and users popularity, leveraging Apache Flink. Research work accepted to the 10th ACM International Conference on Distributed and Event-Based Systems (DEBS 2015).
A Flink library to implement both a buffer-based and a speculative out-of-order event arrival handlers for online process discovery
Assessing the throughput and end-to-end latency of queries in geo-distributed networks
A headless client for RioDB.
My minor research in 10 months | Data Stream Analysis with Storm Apache | Frequent Pattern Mining on Item, Itemset | Sep 2014 - July 2015
Next-Generation Real-Time Data Processing Platform
Final project for the course 'Architecture for Large Data Volumes', taught in the Bachelor's program in Data Science at ITAM