Twitter Sentiment Analysis using Spark Streaming

StockStream manages real-time stock market data using Kafka and AWS. It helps users analyze market trends and make informed decisions, showcasing the power of technology in finance.

This project offers a peer-to-peer content-addressable distributed file storage in Go with a peer-to-peer library built on top of TCP from scratch. It also supports data encryption during storage and transmission

AutoML Techniques for Data Streams - Research Paper

Udacity Data Streaming Nanodegree Projects

A simple, time-tested, family of random hash functions in Java, based on CRC32, affine transformations, and the Mersenne Twister. 🎲

Process that generates random events over thousands of records from a technology e-commerce site for processing in Apache Kafka and analysis in Druid instantiated from EC2, WSL2 Ubuntu, Key .pem

Stock data processing and analysis

A Go library that exposes executors, interfaces, data structures, and utility functions which combined a universal stream processor, invariant to any specific messaging system.

Design data streaming architecture and API for a real-life application called the Step Trending Electronic Data Interface (STEDI). It is a working application used to assess fall risk for seniors. When a senior takes a test, they are scored using an index which reflects the likelihood of falling, and potentially sustaining an injury in the cours…

Establishes and manages communication between different hardware components and software layers, ensuring seamless data exchange and synchronization.

Enterprise-grade event-driven grocery order processing system using Confluent Cloud, demonstrating real-world microservices architecture with Avro schemas, OAuth security, RBAC, and CI/CD automation.

Tutorial for PubNub's real-time data streaming capabilities including HTTP Streaming

This Java program read data from a weather station (Davis Vantage Pro2) and stor 10BC0 e it in a SQL database

Getting real-time twitter data with Kafka, Docker and python

HFlow is a platform for I/O forwarding managed elastically, dynamically, and actively

End-to-end data engineering pipeline with real-time streaming, cloud processing, and analytics. Built with Apache Kafka, Spark, AWS Glue, and Snowflake using Apache Iceberg tables.

This project demonstrates a basic Kafka implementation: using the kafka-python library via Ubuntu virtual machine; and Change Data Capture (CDC) between 2 DBMS via Docker.

Benchmarks for Conduit and other data streaming tools.