Pravega - Streaming as a new software defined storage primitive
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Updated
Mar 2, 2025 - Java
Pravega - Streaming as a new software defined storage primitive
🚀 Professional K-Line/Candlestick chart component for React Native with 60fps performance, interactive drawing tools, and comprehensive technical indicators. Supports iOS & Android.
The Apache Storm implementation of the Bullet backend
Real-time monitoring of motor and room temperatures, with alerts, updates for workers, and MySQL database integration. Built in Kotlin for Android.
MapReduce Job Development, RDDs Programming, Medical Data Management, Sales Analysis, And Efficient Data Integration For Big Data Analysis. Spark: Big Data Processing, SQOOP Integration, And Spark Structured Streaming For Real-Time Data.
Full-stack Fintech Monitoring solution. A microservices architecture demonstrating real-time data processing and observability using Java (Spring Boot), Kafka, PostgreSQL, Prometheus, and Grafana. Features live transaction tracking and system health metrics.
Final project for CS205, an app for seat booking on shuttles.
"WifiMapper is an Android app developed for a mobile security course, featuring a background service that scans nearby Wi-Fi networks every 10 seconds and syncs data to a Node.js backend with PostgreSQL storage. Visualize Wi-Fi locations on Google Maps and explore them via an interactive RecyclerView list."
Perform real-time aggregation of star schema type data
A command-line weather application that fetches real-time weather data for any city
A simple Android application that allows users to search for stocks and view their current price, percentage change, and company name in real-time. Built using Java, Retrofit, and MVVM architecture, with smooth API integration and error handling.
A JavaFX application that fetches and visualizes real-time stock prices using the Alpha Vantage API, updating every 5 seconds with a live chart. 🚀
📈 Build a real-time stock market data pipeline with Snowflake, Kafka, and Power BI for effective analytics and data engineering practices.
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