Ecommerce Realtime Data Pipeline (Data Modeling, Workflow Orchestration, Change Data Capture, Analytical Database and Dashboarding)

Explore Ably's many possibilities. Here are a few short examples of realtime functionality you can build into your chat applications, collaborative tools and realtime monitoring solutions.

A big data project to develop a real-time data pipeline for analyzing the popularity and sentiments of trending topics on Twitter.

Sample Twilio Flex plugin for a real time stats solution

Realtime dashboard using Hamoni Sync

Processing data with PySpark, Sending data to Apacha Kafka, Producing Streaming data from Kafka-Producers, Consuming data with Spark-Streaming and writing it to ElasticSearch. Realtime data visualisation on Kibana.

SwiftBytes 🍽️ – A smart canteen management system for MJCET’s shared canteen. Built with Node.js, Express, PostgreSQL, and TailwindCSS. Enables online meal ordering, live order tracking, staff dashboards, and business insights to reduce queues and enhance dining efficiency

Example Realtime Dashboard Using Angular, Kafka, and Spark

Realtime Dashboard written in ReactJS/ExpressJS

This repository contains the steps to install Apache Spark, and run an application that consumes the twitter's real-time stream, performs transformations on the data and displays them on a real-time dashboard in Jupyter Notebook.

🚀 This project showcases a live data dashboard using Python, MongoDB, Streamlit, and Docker. It includes data ingestion with real-time category-based updates, transformations, and interactive visualizations with filtering and auto-refresh. Ideal for monitoring trends dynamically with a clean UI and containerized deployment.

A real-time interactive dashboard for monitoring and visualizing water quality parameters using sensor data, enabling easy analysis of live and historical trends for informed water management decisions.

A lightweight, dashboard-style web app that shows which employees are currently clocked in — based on ERP attendance data.

A minimalist, frustration-free, single-node websocket server, and continuously broadcasts redis stream every message to every connection from. Provide a simple real chart page.

The project aims to analyze real-time and historical data from the Taxi Network in New York City, utilizing data warehousing, ETL, batch processing, real-time processing, data analysis with insights presented through a Real-Time Dashboard on NoSQL Database and an Aggregated Dashboard for the changes that happened in our business overtime.